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Iran risks Trump's ire with new diplomatic demands, provocations - Axios Gabbard says Trump asked her to attend FBI raid at Georgia elections hub - Axios Marimar Martinez, shot by Border Patrol in Chicago, speaks out after Good, Pretti deaths: ‘I am their voice’ - Chicago Sun-Times Josh Shapiro to unveil plan for managing the data center boom in Pennsylvania - NBC News Trump seeks $1bn in damages from Harvard - BBC William Stevenson, Jill Biden’s Ex-Husband, Is Accused of Killing His Current Wife - The New York Times Judge restricts federal officers’ use of force at Portland ICE protests - OregonLive.com DOT wants to prohibit free buses. That could be a problem for Mamdani in NYC. - Politico Nick Shirley sets his sights on California - The Verge EU and UK to ramp up talks on closer ties 10 years after Brexit vote - Euronews.com A Hamas Hostage’s Secret Ordeal - The New York Times Record-breaking snow blankets Japan, killing at least 30 people - Al Jazeera Spain becomes first country in Europe to ban social media for under-16s - CNBC With caviar McNuggets and heart-shaped pizza, fast food chains hope to win Valentine's diners - AP News Chipotle stock sinks as restaurant chain reports falling traffic, weak guidance - CNBC Did Pfizer's Obesity Shot Do Well Enough To Catch Lilly? - Investor's Business Daily Gemini app Tools menu adds ‘Labs’ section, Personal Intelligence toggle - 9to5Google I Bought the Galaxy Z TriFold for Over $3,000. Follow Along as I Test It (Live Updates) - CNET This 3D Printer Just Broke My Tests, Because the Future Is Here - CNET Secret Lair: Roll for Initiative Superdrop - Magic: The Gathering Lorde Posts 'Ice Out' and Donates $204,000 From Minneapolis Merch - Variety Ricky Martin Writes Open Letter to Bad Bunny After Grammy Victory: ‘You Won by Staying True to Puerto Rico’ - Yahoo Meryl Streep cast as Joni Mitchell in new biopic - The Guardian Chappell Roan Stuns In New Fortnite Skins - Kotaku How to Watch the 2026 Pro Bowl Games - Tampa Bay Buccaneers Don’t diminish Shedeur Sanders’ Pro Bowl selection. He’s not. - Andscape College Football Playoff announces quarterfinal, semifinal dates, bowl sites for 2026, 2027 - On3 Don’t tune into the Super Bowl hoping for a break from politics - AP News SpaceX grounds its Falcon 9 rocket after a problem with its upper stage. Will the Crew-12 astronaut mission be affected? - Space Sun releases 4 strong solar flares: What to expect - ABC News 2-month-olds see the world in a more complex way than scientists thought, study suggests - KSL News Did we just see a black hole explode? Physicists think so—and it could explain (almost) everything - Phys.org More than one-third of cancer cases are preventable, massive study finds - Nature Just When Flu Cases Dropped, Doctors Say They Noticed This Concerning Pattern - AOL.com A decade later, measles returns to Disneyland - SFGATE Opinion | RFK Jr.’s attacks on vaccines just hit a wall of pediatricians - The Washington PostBBC News
Mandelson investigated by police over claims he leaked information to Epstein Andrew moves out of Royal Lodge home Police assess allegation Epstein sent second woman to UK for sex with Andrew Watch: BBC joins Colombian commandos fighting 'never-ending battle' against drug gangs Earlier cancer diagnosis and faster treatment, government promises Trial of Norway crown princess's son hears tearful account in rape trial Two men killed in light aircraft crash, police say Bus driver who was sacked for punching thief protected me, says theft victim Chappell Roan says revealing Grammys outfit wasn't 'that outrageous' US says it shot down Iranian drone flying towards aircraft carrier 'I was thinking about mum': Boy, 13, swims for hours to save family swept out to sea Fourteen migrants dead after collision with Greek coastguard boat Sarah Ferguson emails to Epstein show increasing desperation Thousands of Epstein documents taken down after victims identified Prince Edward says it's 'important' to remember victims as pressure on Andrew grows Who is in the Epstein files? Son of Norway's crown princess hears details of rape charges in tense trial for royal family The talented playmaker no-one seems to want Victim of 'Celtic Curse' spent years blaming herself for poor health My shock at becoming a mum after teenage cancer treatment Seven million cancers a year are preventable, says report Gazans returning through Rafah crossing describe checks by Palestinian militia University begins High Court challenge against £585k free speech fine Jill Biden's ex-husband charged with murdering his wife Burglar who 'targeted' Anya Taylor-Joy's bedroom jailed Saif al-Islam Gaddafi, son of ex-Libyan leader, reportedly shot dead Statue of world champion boxer stolen from park BBC News app Epstein Files: Mandelson Reported To The Police Americanswers… On 5 Live! Do the new Epstein files "absolve" Trump? 'Years in the making' - are Arsenal ready to shed 'nearly-men' tag? England sweep Sri Lanka series in low-scoring thriller 'It hurts me' - Guardiola vows to speak up on conflicts Chelsea adopt Match of the Day tactic to stop Arsenal set-piece threat LIV hits out despite getting world ranking points 'I don't want regrets' - Vonn hopes to compete at Olympics despite ACL injuryFinancial Times (World)
Food and drink companies suffer as US shopper sentiment sinks Use more AI and video hearings to fix English courts system, report says NHS drugs deal with US to cost £1bn over next three years Citadel’s Ken Griffin says Trump White House has ‘enriched’ family members Police launch criminal investigation into Mandelson over Epstein scandal Former prince discussed with Epstein ways to get round investment rules Trump signs bill to end partial US government shutdown Tribunal upholds UK regulator’s decision to fine Banque Havilland Santander agrees $12.2bn deal to buy north-east US bank Webster Financial US stocks drop on fears AI will hit software and analytics groups US shoots down Iranian drone as Middle East tensions escalate FirstFT: US stocks slide on fears over new AI tools Warsh faces Senate battle as lawmakers object to Trump’s attacks on Fed PayPal replaces chief as board warns ‘pace of change’ not fast enough Texas Instruments in advanced talks to buy chip designer Silicon Labs French prosecutors raid Musk’s X offices in Paris Paul Weiss poaches top energy dealmakers in raid on Kirkland & Ellis Birmingham City Council says it is no longer ‘bankrupt’ French appeals court asked to uphold five-year electoral ban on Marine Le Pen The new rules of finance, courtesy of Elon Musk Witkoff meets Netanyahu ahead of new US-Iran talks Iran’s people stand to lose whether or not talks succeed Under Prabowo, Indonesia is veering off course Private jet sellers rattled by Trump threats on Canadian-made aircraft Far-right hardliner poses challenge to Italy’s Matteo SalviniFinancial Times (UK)
Use more AI and video hearings to fix English courts system, report says NHS drugs deal with US to cost £1bn over next three years Police launch criminal investigation into Mandelson over Epstein scandal Former prince discussed with Epstein ways to get round investment rules Birmingham City Council says it is no longer ‘bankrupt’ Peter Mandelson’s lobbying firm tells clients his stake is nearly divested Cost and complexity hobble UK’s drive for low-carbon hydrogen Mandelson row hits Starmer already at rock bottom No, the public is not irredeemably ignorant Starmer seeks to push forward with delayed defence investment plan Demand for UK rental properties drops as buying becomes more affordable Arbitration for divorces in England and Wales doubles in two years Police to review allegations against Mandelson in Epstein scandal Reeves takes aim at Trump in call for UK and EU to speak with one voice on trade Mandelson leaked sensitive UK government tax plans to Epstein This is what a proper Brexit looks like Russian captain guilty of manslaughter after North Sea collision Monetary Policy Radar preview: BoE’s February meeting One Hyde Park residents win legal battle over £35mn in building defects Reform UK admits Kent council’s Musk-inspired cost-cutting drive found little waste What do the Epstein files reveal about Mandelson’s finances? The bigger problem with Labour’s botched business rates U-turn UK house prices record modest rebound after December dip EU eyes fee for UK arms producers to benefit from €90bn Ukraine loan BoE expected to hold rates amid conflicting signals on UK economyThe New York Times
‘Don Colossus,’ a Golden Statue of President Trump, Waits for Its Home Netflix Leader Pushes Warner Deal Before Skeptical Lawmakers Spain Aims to Ban Social Media for Children Under 16 Elon Musk Merges SpaceX With His A.I. Start-Up xAI Siemens Energy Bets $1 Billion That A.I. Power Demand Will Last Chaos in Minneapolis Exposes an Internet at War With Truth Trump Unveils $12 Billion Critical Minerals Stockpile A Social Network for A.I. Bots Only. No Humans Allowed. Energy Bills Have Soared Recently. How Can States Bring Costs Down? Jeff Bezos’s Rocket Company Blue Origin Pauses Space Tourism to Focus on the Moon Tesla’s Model S, Soon to Be History, Changed the Auto Industry Tech Grapples With ICE + Casey Tries Clawdbot, a Risky New A.I. Assistant + HatGPT The Tech Arsenal That ICE Has Deployed in Minneapolis Apple Reports Record iPhone Sales Amid Holiday Bump OpenAI in Talks to Raise as Much as $100 Billion How the A.I. Boom Could Push Up the Price of Your Next PC Amazon and Google Eat Into Nvidia’s A.I. Chip Supremacy Microsoft Continues to Spend Big on A.I. While Profit Jumps 60% Meta Forecasts Spending of at Least $115 Billion This Year Tesla Profit Slumps, but Investors May Not Care With AlphaGenome, Researchers Are Using A.I. to Decode the Human Blueprint Amazon to Cut 16,000 Jobs in Latest Round of LayoffsThe Guardian
Trump-led abuses amid ‘democratic recession’ put human rights in peril, HRW report says Handful of sick and wounded Palestinians allowed through Rafah crossing on first day Weather tracker: Cyclone Fytia in Madagascar kills several people and floods homes International law meant to limit effects of war at breaking point, study finds More than 200 killed in coltan mine collapse in eastern DRC, officials say Colombian president and Trump put aside insults for amicable White House meeting Judge blocks Trump administration’s stripping of Haitians’ protected status Mexico’s president pledges to send aid to Cuba despite US efforts to cut oil access Brazilian influencer who defended US immigration crackdown arrested by ICE Trump’s Greenland threats open old wounds for Inuit across Arctic China to ban hidden car door handles on all EVs over crash safety concerns Trump unveils $12bn critical minerals stockpile scheme in apparent move to counter China’s dominance US, UK, EU, Australia and more to meet to discuss critical minerals alliance Living hell of North Korea’s ‘paradise on Earth’ scheme back in spotlight in Japan Starmer hopes his China trip will begin the thaw after recent ice age Australia politics live: Marles reveals $3bn worth of defence properties to be sold off as ‘much of it not being used’ How will Labor’s Thriving Kids work and who is still eligible for the NDIS? Albanese government to sell off $3bn worth of historic defence sites amid push to free up space for new homes One Nation says it will ‘contest every seat’ in South Australia – but will voters tick the box when it matters? New hate speech rules for NSW schools could stifle classroom discussions about Gaza, teachers warn Collision between Greek coastguard patrol and migrant boat kills 14 French prosecutors ask appeal court to keep ban on Marine Le Pen running for office French headquarters of Elon Musk’s X raided by Paris cybercrime unit Zelenskyy accuses Russia of violating Trump-brokered truce amid cold snap Ukraine ‘ready to play ball’ on peace deal but Russia ‘creating chaos’ with its attacks, says Nato chief – as it happened US shoots down Iranian drone flying towards aircraft carrier, navy says Human Rights Watch researchers resign after report on Palestinian right of return blocked Marwan Barghouti, ‘Palestine’s Mandela’, to publish book from prison Iran’s president says Tehran ready to pursue ‘fair’ talks with US Music and dancing signify defiance at celebratory funerals of Iran’s protesters Pakistan targets Balochistan separatists after ‘unprecedented’ assaults Inside Myanmar’s five-year armed resistance – a photo essay Breakdown in cricket relations with Bangladesh rings alarm bells for India’s Olympic bid Junta-backed party secures sweeping victory in Myanmar’s ‘sham’ election Myanmar military proxy expected to win landslide in widely denounced election Lucy Letby documentary reveals first admission of ‘tiny’ doubt from doctors who accused her One in six autistic pupils in UK have not attended school at all since September Review calls for more remote hearings to save courts system from ‘collapse’ Women in tech and finance at higher risk from AI job losses, report says Ministers to crackdown on profiteering in care sector and make renewed fostering push Trump scolds CNN reporter Kaitlan Collins for not smiling as she asks about Epstein abuse survivors – live California officials move forward with plans to exterminate mule deer from island ‘It’s sick’: Trump administration uses mascot called ‘Coalie’ to push dirtiest fossil fuel Trump signs $1.2tn funding bill, ending partial government shutdown New York to create team of legal observers to document ICE raidsHacker News
Illinois joins WHO global outbreak network after U.S. withdraws TikTok System Design:(Step-by-Step Guide) Notepad++ supply chain attack breakdown FlashAttention-T: Towards Tensorized Attention Data centers in space makes no sense China Moon Mission: Aiming for 2030 lunar landing AliSQL: Alibaba's open-source MySQL with vector and DuckDB engines Y Combinator will let founders receive funds in stablecoins Xcode 26.3 – Developers can leverage coding agents directly in Xcode Deno Sandbox Show HN: Octosphere, a tool to decentralise scientific publishing 221 Cannon is Not For Sale 1 kilobyte is precisely 1000 bytes? France dumps Zoom and Teams as Europe seeks digital autonomy from the US Prek: A better, faster, drop-in pre-commit replacement, engineered in Rust Launch HN: Modelence (YC S25) – App Builder with TypeScript / MongoDB Framework Qwen3-Coder-Next New York’s budget bill would require “blocking technology” on all 3D printers GitHub Browser Plugin for AI Contribution Blame in Pull Requests Agent SkillsArxiv astro-ph.HE
Impact of Perfect Fluid Dark Matter on the Appearance of Rotating Black Hole Supernova Rates and Luminosity Functions from ASAS-SN III: Over a Decade of Type Ia SNe and Their Subtypes Nested Fermi and eROSITA bubbles require very similar $\sim10^{55}$ erg collimated Galactic-center outbursts; their asymmetry indicates an eastern density gradient Fireballs' Whispers of Their Central Engine: Relativistic Filtering of Afterglow QPOs The Fourth HAWC Catalog of Very-High-Energy Gamma-Ray Sources Electron-positron cascade in magnetospheres of supermassive Kerr black holes and the origin of relativistic AGN jets Gamma-Ray Bursts: Evidence for a Common Origin of X-ray Plateaus with Diverse Temporal Decay Index Flow Generation via Catastrophic Loss of Equilibrium in Weakly-Rotating Self-Gravitating Fluids: A Minimal Idealized Model Successive Partial Disruptions with Orbital Precession in a White Dwarf-Black Hole System for Repeating GRB 250702B Radiation-Driven Origin of Super-Equipartition Magnetic Fields in Accretion Discs and Outflows Investigation on Quasi-periodic Oscillation Phase Lag of RE J1034+396 A Catalogue of Variable Active Galactic Nuclei Based on Multi-Timescale Variability Analysis from Fermi-LAT Data A Serendipitous NuSTAR Detection of a Giant Radio Source Harboring an Obscured Active Galactic Nucleus Revisiting neutrino-driven magnetogenesis during stellar core collapse Discovery of a New Spectral Transition in Swift J0243.6+6124 in the Sub-Eddington Regime A model for the emission of SGRBs-GW from binary mergers Search for ultra-high energy neutrons from Galactic sources with the Pierre Auger Observatory Multi-Messenger Modeling of Low-Luminosity Gamma-Ray Bursts A Unified Framework for 10 TeV to EeV Diffuse Neutrino Sky and KM3-230213A Evaluating the Contribution of Active Galactic Nuclei to the Diffuse High-Energy Neutrino Flux Model-Agnostic Population Inference for Gravitational-Wave Astronomy: From LIGO to LISA An autoencoder-based surrogate waveform model for quasi-circular binary-black-hole mergers Nested, asymmetric H$-$He circumstellar shells in the Type Icn/Ibn SN 2024abvb GBD-DART-I : Pulsars and transient source observation between 130 MHz and 350 MHz at Gauribidanur Prospects for the detection of gamma rays using Cherenkov telescopes enhanced by a ground array observatory Population synthesis of double white dwarfs: evolutionary effects on system properties GBD-DART-II: 175 MHz Polarimetric Observation of Pulsars from Gauribidanur and a New Pulsar Signal Processing Pipeline Solar Flare Hosts MeV-peaked Electrons in a Coronal Source Testing the wormhole echo hypothesis for GW231123 Gravitational trapping and ram pressure trapping of ultracompact and hypercompact H II regions X-ray counterparts to stellar MeerKAT Galactic-plane compact radio sources Astro-COLIBRI: An Innovative Platform for Real-Time Multi-Messenger Astrophysics Mirage Sources and Large TeV Halo-Pulsar Offsets: Exploring the Parameter Space An Accretion Flare Interpretation for the Ultra-High-Energy Neutrino Event KM3-230213A Chromatic activity window of periodic fast radio bursts: FRB 20121102A and FRB 20180916B GW231123: Likely a product of successive mergers from $\sim 10 $ stellar-mass black holes Polarization of reflected X-ray emission from the Sgr A molecular complex: multiple flares, multiple sources? X-ray panorama of the SS433/W50 complex by SRG/eROSITA Chemical Evolution and Kilonova Implications of Post-Merger Accretion Disk Winds Delayed radio emission in tidal disruption events from collisions of outflows driven by disk instabilities Blazar classification from multi-wavelength data using Deep Learning Identification of three new ultraluminous X-ray sources in NGC 4631 and NGC 1097: Evidence for stellar-mass black holes Revisiting a Quasar Microlensing Event Towards AGN~J1249+3449 Observational and theoretical aspects of Superspinars Observational strategies for ultrahigh-energy neutrinos: the importance of deep sensitivity for detection and astronomy Dispersion relation of the neutrino plasma: Unifying fast, slow, and collisional instabilities The role of rotation on the yields of the two {\gamma}-ray emitters 26Al and 60Fe ejected by massive stars $\textit{Ab initio}$ Exact Calculation of Strongly-Correlated Nucleonic Matter Environmentally-induced chaos: Extreme-mass-ratio systems of rotating black holes in astrophysical environments Is GW190521 a gravitational wave echo of wormhole remnant from another universe? Do plasmoids induce fast magnetic reconnection in well-resolved current sheets in 2D MHD simulations? Hydrodynamical mass-loss rates for Very Massive Stars. I. Investigating the wind kink proto-Lightspeed: a high-speed, ultra-low read noise imager on the Magellan Clay Telescope Rethinking Resonance Detectability during Binary Neutron Star Inspiral: Accurate Mismatch Computations for Low-lying Dynamical TidesArxiv cs.LG
OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models Measurement for Opaque Systems: Multi-source Triangulation with Interpretable Machine Learning Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems ELLMPEG: An Edge-based Agentic LLM Video Processing Tool RAPTOR-AI for Disaster OODA Loop: Hierarchical Multimodal RAG with Experience-Driven Agentic Decision-Making Enhancing few-shot time series forecasting with LLM-guided diffusion Extending Beacon to Hindi: Cultural Adaptation Drives Cross-Lingual Sycophancy Lightweight Edge Learning via Dataset Pruning Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment TextBFGS: Quasi-Newton Optimization for Discrete Executable Text via Gradient-Operator Retrieval SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism The Impact of Machine Learning Uncertainty on the Robustness of Counterfactual Explanations SPGCL: Effective Graph Contrastive Learning via SVD-Guided Structural Perturbation Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation Automated univariate time series forecasting with regression trees Lossless Embedding Compression via Spherical Coordinates Why LoRA Resists Label Noise: A Theoretical Framework for Noise-Robust Parameter-Efficient Fine-Tuning CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization From Numbers to Prompts: A Cognitive Symbolic Transition Mechanism for Lightweight Time-Series Forecasting Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review Gauss-Newton Natural Gradient Descent for Shape Learning THDC: Training Hyperdimensional Computing Models with Backpropagation Predicting Mortgage Default with Machine Learning: AutoML, Class Imbalance, and Leakage Control MiniTensor: A Lightweight, High-Performance Tensor Operations Library ALIGN: Aligned Delegation with Performance Guarantees for Multi-Agent LLM Reasoning Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages Monte Carlo Tree Search for Execution-Guided Program Repair with Large Language Models On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks RAPTOR: Ridge-Adaptive Logistic Probes Sheaf Neural Networks and biomedical applications Block removal for large language models through constrained binary optimization Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective Learning Robust Reasoning through Guided Adversarial Self-Play The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization How Understanding Forecast Uncertainty Resolves the Explainability Problem in Machine Learning Models GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models Reducing Memorisation in Generative Models via Riemannian Bayesian Inference Reducing Class-Wise Performance Disparity via Margin Regularization Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection Green-NAS: A Global-Scale Multi-Objective Neural Architecture Search for Robust and Efficient Edge-Native Weather Forecasting TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models VoxServe: Streaming-Centric Serving System for Speech Language Models Sample Complexity Analysis for Constrained Bilevel Reinforcement Learning Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation From Observations to States: Latent Time Series Forecasting Agentic Framework for Epidemiological Modeling Neural Ising Machines via Unrolling and Zeroth-Order Training Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection Harvest: Opportunistic Peer-to-Peer GPU Caching for LLM Inference In-Run Data Shapley for Adam Optimizer Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks Efficient and accurate steering of Large Language Models through attention-guided feature learning Adaptive Momentum and Nonlinear Damping for Neural Network Training Planning with Language and Generative Models: Toward General Reward-Guided Wireless Network Design Leveraging Textual-Cues for Enhancing Multimodal Sentiment Analysis by Object Recognition Quantum Generator Kernels Post-Training Probability Manifold Correction via Structured SVD Pruning and Self-Referential Distillation MATRIX: A Multimodal Benchmark and Post-Training Framework for Materials Science RePaint-Enhanced Conditional Diffusion Model for Parametric Engineering Designs under Performance and Parameter Constraints A Fragile Guardrail: Diffusion LLM's Safety Blessing and Its Failure Mode Localized, High-resolution Geographic Representations with Slepian Functions Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers DROGO: Default Representation Objective via Graph Optimization in Reinforcement Learning Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks Variational Approach for Job Shop Scheduling Robustness of AutoML on Dirty Categorical Data Federated-inspired Single-cell Batch Integration in Latent Space Open Materials Generation with Inference-Time Reinforcement Learning LLMs as High-Dimensional Nonlinear Autoregressive Models with Attention: Training, Alignment and Inference Towards Building Non-Fine-Tunable Foundation Models Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards LatentTrack: Sequential Weight Generation via Latent Filtering Search Inspired Exploration in Reinforcement Learning PAIR-Former: Budgeted Relational MIL for miRNA Target Prediction Parallel Stochastic Gradient-Based Planning for World Models Diffusion LMs Can Approximate Optimal Infilling Lengths Implicitly Quality-Diversity Optimization as Multi-Objective Optimization AREAL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models OD-DEAL: Dynamic Expert-Guided Adversarial Learning with Online Decomposition for Scalable Capacitated Vehicle Routing Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs Contrastive Learning for Privacy Enhancements in Industrial Internet of Things NEST: Nested Event Stream Transformer for Sequences of Multisets Physiology as Language: Translating Respiration to Sleep EEG Convergent World Representations and Divergent Tasks AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models Invertible Memory Flow Networks OpenDDI: A Comprehensive Benchmark for DDI Prediction One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models Depth, Not Data: An Analysis of Hessian Spectral Bifurcation Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry Beyond the Node: Clade-level Selection for Efficient MCTS in Automatic Heuristic Design Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs Sparsity-Aware Unlearning for Large Language Models Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting Safe Langevin Soft Actor Critic SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks Direct Preference Optimization with Rating Information: Practical Algorithms and Provable Gains Actor-Dual-Critic Dynamics for Zero-sum and Identical-Interest Stochastic Games Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference MoDEx: Mixture of Depth-specific Experts for Multivariate Long-term Time Series Forecasting From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs Equilibrium of Feasible Zone and Uncertain Model in Safe Exploration Combinatorial Bandit Bayesian Optimization for Tensor Outputs CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting Riemannian Flow Matching for Disentangled Graph Domain Adaptation Three-Way Emotion Classification of EEG-based Signals using Machine Learning Strong Linear Baselines Strike Back: Closed-Form Linear Models as Gaussian Process Conditional Density Estimators for TSAD Provably Protecting Fine-Tuned LLMs from Training Data Extraction Topology and Geometry of the Learning Space of ReLU Networks: Connectivity and Singularities Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning LocalV: Exploiting Information Locality for IP-level Verilog Generation Deep Time-series Forecasting Needs Kernelized Moment Balancing Federated Learning at the Forefront of Fairness: A Multifaceted Perspective Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization GraphNNK -- Graph Classification and Interpretability BLOCK-EM: Preventing Emergent Misalignment by Blocking Causal Features Provable Model Provenance Set for Large Language Models A novel VAE-DML fusion framework for casual analysis of greenwashing in the mining industry Stable Time Series Prediction of Enterprise Carbon Emissions Based on Causal Inference Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors Sporadic Gradient Tracking over Directed Graphs: A Theoretical Perspective on Decentralized Federated Learning Latent Shadows: The Gaussian-Discrete Duality in Masked Diffusion JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation Mobile Exergames: Activity Recognition Based on Smartphone Sensors Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization Don't Forget Its Variance! The Minimum Path Variance Principle for Accurate and Stable Score-Based Density Ratio Estimation RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation Investigating the Robustness of Subtask Distillation under Spurious Correlation Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs Improving Flow Matching by Aligning Flow Divergence Learning Heat-based Equations in Self-similar variables Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs Test-time Generalization for Physics through Neural Operator Splitting Reliability-Aware Determinantal Point Processes for Robust Informative Data Selection in Large Language Models GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation Domain-Adaptive and Scalable Dense Retrieval for Content-Based Recommendation Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing PyGALAX: An Open-Source Python Toolkit for Advanced Explainable Geospatial Machine Learning Efficient Deep Learning for Medical Imaging: Bridging the Gap Between High-Performance AI and Clinical Deployment Early Classification of Time Series in Non-Stationary Cost Regimes Beyond What Seems Necessary: Hidden Gains from Scaling Training-Time Reasoning Length under Outcome Supervision Continuous-Utility Direct Preference Optimization SALAAD: Sparse And Low-Rank Adaptation via ADMM Dynamic Prior Thompson Sampling for Cold-Start Exploration in Recommender Systems Optimal Budgeted Adaptation of Large Language Models SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery From drift to adaptation to the failed ml model: Transfer Learning in Industrial MLOps Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction Multimodal Scientific Learning Beyond Diffusions and Flows On the Spectral Flattening of Quantized Embeddings Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models SFMP: Fine-Grained, Hardware-Friendly and Search-Free Mixed-Precision Quantization for Large Language Models Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection Superposition unifies power-law training dynamics SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning On the Expressive Power of Permutation-Equivariant Weight-Space Networks OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases Single-Edge Node Injection Threats to GNN-Based Security Monitoring in Industrial Graph Systems MarkovScale: Towards Optimal Sequential Scaling at Inference Time ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity Tangent Space Fine-Tuning for Directional Preference Alignment in Large Language Models TRACE: Scalable Amortized Causal Discovery from Single Sequences via Autoregressive Density Estimation A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning Self-Generative Adversarial Fine-Tuning for Large Language Models Key Principles of Graph Machine Learning: Representation, Robustness, and Generalization Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization Statistical MIA: Rethinking Membership Inference Attack for Reliable Unlearning Auditing PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning Multi-Horizon Electricity Price Forecasting with Deep Learning in the Australian National Electricity Market Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics Unraveling the Hidden Dynamical Structure in Recurrent Neural Policies SimpleGPT: Improving GPT via A Simple Normalization Strategy Learning from Anonymized and Incomplete Tabular Data MiTA Attention: Efficient Fast-Weight Scaling via a Mixture of Top-$k$ Activations Lotus: Efficient LLM Training by Randomized Low-Rank Gradient Projection with Adaptive Subspace Switching Mechanistic Interpretability of Brain-to-Speech Models Across Speech Modes Sample Efficient Active Algorithms for Offline Reinforcement Learning BicKD: Bilateral Contrastive Knowledge Distillation Diving into Kronecker Adapters: Component Design Matters Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics From Intents to Actions: Agentic AI in Autonomous Networks Richer Bayesian Last Layers with Subsampled NTK Features Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses EDIS: Diagnosing LLM Reasoning via Entropy Dynamics Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models The BoBW Algorithms for Heavy-Tailed MDPs Dispelling the Curse of Singularities in Neural Network Optimizations Imperfect Influence, Preserved Rankings: A Theory of TRAK for Data Attribution PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding High-accuracy sampling for diffusion models and log-concave distributions Finding Differentially Private Second Order Stationary Points in Stochastic Minimax Optimization Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation An Odd Estimator for Shapley Values SNIP: An Adaptive Mixed Precision Framework for Subbyte Large Language Model Training Semi-supervised CAPP Transformer Learning via Pseudo-labeling Improve the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data Phase Transitions for Feature Learning in Neural Networks Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse The Gradient-Causal Gap: Why Gradient Importance Fails on Complex Tasks A Meta-Knowledge-Augmented LLM Framework for Hyperparameter Optimization in Time-Series Forecasting Provable Cooperative Multi-Agent Exploration for Reward-Free MDPs Modeling Topological Impact on Node Attribute Distributions in Attributed Graphs Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations A Statistical Theory of Gated Attention through the Lens of Hierarchical Mixture of Experts P-EAGLE: Parallel-Drafting EAGLE with Scalable Training Rod Flow: A Continuous-Time Model for Gradient Descent at the Edge of Stability Causal Preference Elicitation Predicting and improving test-time scaling laws via reward tail-guided search Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference Optimal Sample Complexity for Single Time-Scale Actor-Critic with Momentum Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization White-Box Neural Ensemble for Vehicular Plasticity: Quantifying the Efficiency Cost of Symbolic Auditability in Adaptive NMPC You Need an Encoder for Native Position-Independent Caching When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning The Inlet Rank Collapse in Implicit Neural Representations: Diagnosis and Unified Remedy Plain Transformers are Surprisingly Powerful Link Predictors InfoTok: Regulating Information Flow for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs How Implicit Bias Accumulates and Propagates in LLM Long-term Memory Local Exponential Stability of Mean-Field Langevin Descent-Ascent in Wasserstein Space Generative Visual Code Mobile World Models Nearly Optimal Active Preference Learning and Its Application to LLM Alignment A Lightweight Sparse Interaction Network for Time Series Forecasting Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting The Multiple Ticket Hypothesis: Random Sparse Subnetworks Suffice for RLVR Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards Universal Redundancies in Time Series Foundation Models Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces? A Practical Tensor-Network Compression Pipeline for Production-Scale Large Language Models AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems SUSD: Structured Unsupervised Skill Discovery through State Factorization Toward Enhancing Representation Learning in Federated Multi-Task Settings AdaptNC: Adaptive Nonconformity Scores for Uncertainty-Aware Autonomous Systems in Dynamic Environments COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection Chance-Constrained Inference for Hallucination Risk Control in Large Language Models The Effect of Mini-Batch Noise on the Implicit Bias of Adam De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion From Perception to Action: Spatial AI Agents and World Models On the Spatiotemporal Dynamics of Generalization in Neural Networks Efficient Adversarial Attacks on High-dimensional Offline Bandits Quantifying Epistemic Predictive Uncertainty in Conformal Prediction ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment $\textbf{AGT$^{AO}$}$: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality Beyond Mode Elicitation: Diversity-Preserving Reinforcement Learning via Latent Diffusion Reasoner Revisiting Generalization Measures Beyond IID: An Empirical Study under Distributional Shift MSign: An Optimizer Preventing Training Instability in Large Language Models via Stable Rank Restoration Position: The Inevitable End of One-Architecture-Fits-All-Domains in Time Series Forecasting Softmax Linear Attention: Reclaiming Global Competition Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics Position: Beyond Model-Centric Prediction -- Agentic Time Series Forecasting Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry-Task Alignment DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models No Generation without Representation: Efficient Causal Protein Language Models Enable Zero-Shot Fitness Estimation Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models FUPareto: Bridging the Forgetting-Utility Gap in Federated Unlearning via Pareto Augmented Optimization Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning Time2Vec-Integrated Transformer for Robust Gesture Recognition from Low-Density sEMG Autocorrelated Optimize-via-Estimate: Predict-then-Optimize versus Finite-sample Optimal Internal Flow Signatures for Self-Checking and Refinement in LLMs Observation-dependent Bayesian active learning via input-warped Gaussian processes Data- and Variance-dependent Regret Bounds for Online Tabular MDPs Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs VLM-Guided Experience Replay PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks Embedding Learning on Multiplex Networks for Link Prediction Bayesian Integration of Nonlinear Incomplete Clinical Data COLT: Lightweight Multi-LLM Collaboration through Shared MCTS Reasoning for Model Compilation PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity Deep Multivariate Models with Parametric Conditionals Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation Grounding Generated Videos in Feasible Plans via World Models Zero-Shot Off-Policy Learning Self-Consolidation for Self-Evolving Agents IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning Optimizing Tensor Train Decomposition in DNNs for RISC-V Architectures Using Design Space Exploration and Compiler Optimizations On the Limits of Layer Pruning for Generative Reasoning in LLMs Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs Logic-Guided Vector Fields for Constrained Generative Modeling SNAP: A Self-Consistent Agreement Principle with Application to Robust Computation Robust Domain Generalization under Divergent Marginal and Conditional Distributions DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers On Stability and Robustness of Diffusion Posterior Sampling for Bayesian Inverse Problems Dissecting Outlier Dynamics in LLM NVFP4 Pretraining FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance Learning to Route and Schedule LLMs from User Retrials via Contextual Queueing Bandits BAPS: A Fine-Grained Low-Precision Scheme for Softmax in Attention via Block-Aware Precision reScaling Calibrating Adaptive Smoothing Methods for Freeway Traffic Reconstruction AICD Bench: A Challenging Benchmark for AI-Generated Code Detection Learning Half-Spaces from Perturbed Contrastive Examples Active learning from positive and unlabeled examples Efficient Swap Regret Minimization in Combinatorial Bandits Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs An Empirical Study of World Model Quantization Unifying Masked Diffusion Models with Various Generation Orders and Beyond The Maximum von Neumann Entropy Principle: Theory and Applications in Machine Learning Two-Stage Grid Optimization for Group-wise Quantization of LLMs Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations EvoMU: Evolutionary Machine Unlearning Learning Generative Selection for Best-of-N Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning Revisiting Adaptive Rounding with Vectorized Reparameterization for LLM Quantization Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing Generating Causal Temporal Interaction Graphs for Counterfactual Validation of Temporal Link Prediction Interpretable Tabular Foundation Models via In-Context Kernel Regression Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents Generalized Optimal Classification Trees: A Mixed-Integer Programming Approach SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs ECHO-2: A Large Scale Distributed Rollout Framework for Cost-efficient Reinforcement Learning State Rank Dynamics in Linear Attention LLMs Hierarchical Adaptive Eviction for KV Cache Management in Multimodal Language Models Cardinality-Preserving Structured Sparse Graph Transformers for Molecular Property Prediction Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning Generating Physically Sound Designs from Text and a Set of Physical Constraints Scientific Theory of a Black-Box: A Life Cycle-Scale XAI Framework Based on Constructive Empiricism Spectral Superposition: A Theory of Feature Geometry Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting Geometry- and Relation-Aware Diffusion for EEG Super-Resolution Interpretability in Deep Time Series Models Demands Semantic Alignment Variational Entropic Optimal Transport Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models Alignment-Aware Model Adaptation via Feedback-Guided Optimization Segment to Focus: Guiding Latent Action Models in the Presence of Distractors Learning Markov Decision Processes under Fully Bandit Feedback Unlocking the Duality between Flow and Field Matching Unsupervised Physics-Informed Operator Learning through Multi-Stage Curriculum Training HopFormer: Sparse Graph Transformers with Explicit Receptive Field Control Backpropagation as Physical Relaxation: Exact Gradients in Finite Time MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology Choice-Model-Assisted Q-learning for Delayed-Feedback Revenue Management Statistical Learning Theory in Lean 4: Empirical Processes from Scratch An Optimization Method for Autoregressive Time Series Forecasting EvalQReason: A Framework for Step-Level Reasoning Evaluation in Large Language Models Decoupling Generalizability and Membership Privacy Risks in Neural Networks ReasonCACHE: Teaching LLMs To Reason Without Weight Updates C-kNN-LSH: A Nearest-Neighbor Algorithm for Sequential Counterfactual Inference Self-Supervised Learning from Structural Invariance SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference Optimization Transformers learn factored representations David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence Didactic to Constructive: Turning Expert Solutions into Learnable Reasoning Active Transfer Bagging: A New Approach for Accelerated Active Learning Acquisition of Data by Combined Transfer Learning and Bagging Based Models Trust Region Continual Learning as an Implicit Meta-Learner Poly-attention: a general scheme for higher-order self-attention Repurposing Protein Language Models for Latent Flow-Based Fitness Optimization Embedding Perturbation may Better Reflect the Uncertainty in LLM Reasoning Maximizing Reliability with Bayesian Optimization Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization Conflict-Aware Client Selection for Multi-Server Federated Learning SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning Expanding the Capabilities of Reinforcement Learning via Text Feedback RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation Disentangled Interest Network for Out-of-Distribution CTR Prediction Efficient Multilingual Search Relevance Modeling in E-Commerce via LLM Mixture-of-Experts C$^2$-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models Linear-PAL: A Lightweight Ranker for Mitigating Shortcut Learning in Personalized, High-Bias Tabular Ranking Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management Asynchronous MultiAgent Reinforcement Learning for 5G Routing under Side Constraints Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning Exploring the Interpretability of Forecasting Models for Energy Balancing Market AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows Scalable and Secure AI Inference in Healthcare: A Comparative Benchmarking of FastAPI and Triton Inference Server on Kubernetes Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization Comparison of Multiple Classifiers for Android Malware Detection with Emphasis on Feature Insights Using CICMalDroid 2020 Dataset A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods IntentCoding: Amplifying User Intent in Code Generation On finite-dimensional encoding/decoding theorems for neural operators FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs Test-Time Adaptation for Non-stationary Time Series: From Synthetic Regime Shifts to Financial Markets Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network The GT-Score: A Robust Objective Function for Reducing Overfitting in Data-Driven Trading Strategies SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation Radiomics in Medical Imaging: Methods, Applications, and Challenges Observing Health Outcomes Using Remote Sensing Imagery and Geo-Context Guided Visual Transformer 1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization Event Driven Clustering Algorithm Comparison of Image Processing Models in Quark Gluon Jet Classification Early warning prediction: Onsager-Machlup vs Schr\"{o}dinger Uncertainty-Aware Multimodal Learning via Conformal Shapley Intervals Neuron Block Dynamics for XOR Classification with Zero-Margin RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets From Gameplay Traces to Game Mechanics: Causal Induction with Large Language Models Interpretable Unsupervised Deformable Image Registration via Confidence-bound Multi-Hop Visual Reasoning DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking CAPA: Contribution-Aware Pruning and FFN Approximation for Efficient Large Vision-Language Models Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering Semantics-Preserving Evasion of LLM Vulnerability Detectors Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation Detecting AI-Generated Content in Academic Peer Reviews Parametrization of subgrid scales in long-term simulations of the shallow-water equations using machine learning and convex limiting Modeling Image-Caption Rating from Comparative Judgments Generalized Inverses of Matrix Products: From Fundamental Subspaces to Randomized Decompositions Singular Bayesian Neural Networks Brazilian Portuguese Image Captioning with Transformers: A Study on Cross-Native-Translated Dataset 3DGS$^2$-TR: Scalable Second-Order Trust-Region Method for 3D Gaussian Splatting Reinforcement Learning for Control Systems with Time Delays: A Comprehensive Survey Alignment of Diffusion Model and Flow Matching for Text-to-Image Generation Toward Autonomous Laboratory Safety Monitoring with Vision Language Models: Learning to See Hazards Through Scene Structure PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Multimodal Agents Shuffle and Joint Differential Privacy for Generalized Linear Contextual Bandits Topological Residual Asymmetry for Bivariate Causal Direction Exact Instance Compression for Convex Empirical Risk Minimization via Color Refinement DISK: Dynamic Inference SKipping for World Models Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks Quantum Phase Recognition via Quantum Attention Mechanism Stabilizing Fixed-Point Iteration for Markov Chain Poisson Equations PCBSchemaGen: Constraint-Guided Schematic Design via LLM for Printed Circuit Boards (PCB) Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning NPNet: A Non-Parametric Network with Adaptive Gaussian-Fourier Positional Encoding for 3D Classification and Segmentation RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine Multimodal Machine Learning for Integrating Heterogeneous Analytical Systems From Pixels to Facts (Pix2Fact): Benchmarking Multi-Hop Reasoning for Fine-Grained Visual Fact Checking Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design Jailbreaking LLMs via Calibration Action-Free Offline-to-Online RL via Discretised State Policies Sampling from multi-modal distributions on Riemannian manifolds with training-free stochastic interpolants Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds SEISMO: Increasing Sample Efficiency in Molecular Optimization with a Trajectory-Aware LLM Agent Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation Cross-Modal Binary Attention: An Energy-Efficient Fusion Framework for Audio-Visual Learning Physics-informed Diffusion Generation for Geomagnetic Map Interpolation Emergence of Distortions in High-Dimensional Guided Diffusion Models A New Workflow for Materials Discovery Bridging the Gap Between Experimental Databases and Graph Neural Networks Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning Learning in Bayesian Stackelberg Games With Unknown Follower's Types Zero-Flow Encoders Hessian Spectral Analysis at Foundation Model Scale Safety-Efficacy Trade Off: Robustness against Data-Poisoning Harmful Overfitting in Sobolev Spaces Score-based Metropolis-Hastings for Fractional Langevin Algorithms Multivariate Time Series Data Imputation via Distributionally Robust Regularization Multi-Head Attention Is a Multi-Player Game Sublinear Time Quantum Algorithm for Attention Approximation RoDiF: Robust Direct Fine-Tuning of Diffusion Policies with Corrupted Human Feedback EffGen: Enabling Small Language Models as Capable Autonomous Agents Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? When Hard Gating Hurts On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity Hybrid Topological and Deep Feature Fusion for Accurate MRI-Based Alzheimer's Disease Severity Classification Trust in One Round: Confidence Estimation for Large Language Models via Structural Signals DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning Optimal Decision-Making Based on Prediction Sets Error Taxonomy-Guided Prompt Optimization CortiNet: A Physics-Perception Hybrid Cortical-Inspired Dual-Stream Network for Gallbladder Disease Diagnosis from Ultrasound Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment The Stacked Autoencoder Evolution Hypothesis The Quantum Learning Menagerie (A survey on Quantum learning for Classical concepts) PDE-Constrained Optimization for Neural Image Segmentation with Physics Priors SPELL: Synthesis of Programmatic Edits using LLMs Long-range Modeling and Processing of Multimodal Event Sequences Capabilities and Fundamental Limits of Latent Chain-of-Thought Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics Equivalence of Privacy and Stability with Generalization Guarantees in Quantum Learning Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse AI Meets Plasticity: A Comprehensive Survey Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority CRAFT: Calibrated Reasoning with Answer-Faithful Traces via Reinforcement Learning for Multi-Hop Question Answering PolyGen: Fully Synthetic Vision-Language Training via Multi-Generator Ensembles Robust Sublinear Convergence Rates for Iterative Bregman Projections WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics PromptRL: Prompt Matters in RL for Flow-Based Image Generation The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling Nonlinear model reduction for transport-dominated problems Online Social Welfare Function-based Resource Allocation Importance Weighted Variational Inference without the Reparameterization Trick Where to Attend: A Principled Vision-Centric Position Encoding with Parabolas Building Better Deception Probes Using Targeted Instruction Pairs Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning Understanding vision transformer robustness through the lens of out-of-distribution detection Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator Rethinking Multinomial Logistic Mixture of Experts with Sigmoid Gating Function Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Robots Making Bias Non-Predictive: Training Robust LLM Judges via Reinforcement Learning Rotation-free Online Handwritten Character Recognition Using Linear Recurrent Units MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations Genus-0 Surface Parameterization using Spherical Beltrami Differentials Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO Minimax optimal differentially private synthetic data for smooth queries ToPT: Task-Oriented Prompt Tuning for Urban Region Representation Learning Efficient Softmax Reformulation for Homomorphic Encryption via Moment Generating Function FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications What LLMs Think When You Don't Tell Them What to Think About? Beyond Dense States: Elevating Sparse Transcoders to Active Operators for Latent Reasoning Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models Optimizing Prompts for Large Language Models: A Causal Approach SafePred: A Predictive Guardrail for Computer-Using Agents via World Models Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling ST-BCP: Tightening Coverage Bound for Backward Conformal Prediction via Non-Conformity Score Transformation Physics-Informed Chebyshev Polynomial Neural Operator for Parametric Partial Differential Equations MACD: Model-Aware Contrastive Decoding via Counterfactual Data Enhancing Automated Essay Scoring with Three Techniques: Two-Stage Fine-Tuning, Score Alignment, and Self-Training Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking Zero2Text: Zero-Training Cross-Domain Inversion Attacks on Textual Embeddings PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models Cost-Aware Bayesian Optimization for Prototyping Interactive Devices Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse Spatio-Temporal Transformers for Long-Term NDVI Forecasting Sentence Curve Language Models Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses Transformers as Measure-Theoretic Associative Memory: A Statistical Perspective and Minimax Optimality Grappa: Gradient-Only Communication for Scalable Graph Neural Network Training Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models Geometric Analysis of Token Selection in Multi-Head Attention Learning Sparse Visual Representations via Spatial-Semantic Factorization Propagating the prior from far to near offset: A self-supervised diffusion framework for progressively recovering near-offsets of towed-streamer data Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration Privacy Amplification by Missing Data FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays Stochastic Interpolants in Hilbert Spaces Position: The Need for Ultrafast Training Rethinking Genomic Modeling Through Optical Character Recognition Scale-covariant spiking wavelets Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models Twinning Complex Networked Systems: Data-Driven Calibration of the mABCD Synthetic Graph Generator Ultrafast On-chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning Training-free score-based diffusion for parameter-dependent stochastic dynamical systems Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model Real-Time 2D LiDAR Object Detection Using Three-Frame RGB Scan Encoding Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models PCA of probability measures: Sparse and Dense sampling regimes Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences RACA: Representation-Aware Coverage Criteria for LLM Safety Testing DFKI-Speech System for WildSpoof Challenge: A robust framework for SASV In-the-Wild Advancing General-Purpose Reasoning Models with Modular Gradient Surgery Position: Explaining Behavioral Shifts in Large Language Models Requires a Comparative Approach Spark: Modular Spiking Neural Networks Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics Context Learning for Multi-Agent Discussion Artificial Intelligence and Symmetries: Learning, Encoding, and Discovering Structure in Physical Data Implicit neural representation of textures Hierarchical Federated Learning with SignSGD: A Highly Communication-Efficient Approach NAB: Neural Adaptive Binning for Sparse-View CT reconstruction Transfer Learning Through Conditional Quantile Matching Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing Personalized Image Generation via Human-in-the-loop Bayesian Optimization PRISM: Performer RS-IMLE for Single-pass Multisensory Imitation Learning Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function Masked Autoencoders as Universal Speech Enhancer Misconception Diagnosis From Student-Tutor Dialogue: Generate, Retrieve, Rerank Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning Energy-Efficient Neuromorphic Computing for Edge AI: A Framework with Adaptive Spiking Neural Networks and Hardware-Aware Optimization MentisOculi: Revealing the Limits of Reasoning with Mental Imagery Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Reward-free Alignment for Conflicting Objectives The Function Representation of Artificial Neural Network Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention Retrospective Feature Estimation for Continual Learning Instance Temperature Knowledge Distillation UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization FPBoost: Fully Parametric Gradient Boosting for Survival Analysis End-to-End Conformal Calibration for Optimization Under Uncertainty Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection SVIP: Towards Verifiable Inference of Open-source Large Language Models Individual Regret in Cooperative Stochastic Multi-Armed Bandits MOMA: Masked Orthogonal Matrix Alignment for Zero-Additional-Parameter Model Merging AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping Conformal mapping based Physics-informed neural networks for designing neutral inclusions PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning Decoding Generalization from Memorization in Deep Neural Networks CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation LEAD: An EEG Foundation Model for Alzheimer's Disease Detection Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan On the Importance of Pretraining Data Alignment for Atomic Property Prediction Sparse Autoencoder Features for Classifications and Transferability Entropy-Lens: Uncovering Decision Strategies in LLMs Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks Mixtera: A Data Plane for Foundation Model Training Causally Reliable Concept Bottleneck Models Large-Scale Auto-bidding with Nash Equilibrium Constraints Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities An Overview of Low-Rank Structures in the Training and Adaptation of Large Models Unlocking Graph Structure Learning with Tree-Guided Large Language Models shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Efficient Reinforcement Finetuning via Adaptive Curriculum Learning ASIL: Augmented Structural Information Learning for Deep Graph Clustering in Hyperbolic Space TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Bubble2Heat: Optical to Thermal Inference in Pool Boiling Using Physics-encoded Generative AI DiTOX: Fault Detection and Localization in the ONNX Optimizer WaterDrum: Watermarking for Data-centric Unlearning Metric UniSymNet: A Unified Symbolic Network Guided by Transformer Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction Scaling Gaussian Process Regression with Full Derivative Observations Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Context-Free Synthetic Data Mitigates Forgetting Reward-Aware Proto-Representations in Reinforcement Learning HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries Small Models, Smarter Learning: The Power of Joint Task Training Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO ePC: Fast and Deep Predictive Coding for Digital Hardware Can Test-time Computation Mitigate Reproduction Bias in Neural Symbolic Regression? Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning Experience-based Knowledge Correction for Robust Planning in Minecraft Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation Bayes optimal learning of attention-indexed models Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization Learning to Weight Parameters for Training Data Attribution Reusing Trajectories in Policy Gradients Enables Fast Convergence KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Dense Associative Memory with Epanechnikov Energy Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Identifiability of Deep Polynomial Neural Networks Cooperative Sheaf Neural Networks Bridging GANs and Bayesian Neural Networks via Partial Stochasticity Discrete Diffusion Trajectory Alignment via Stepwise Decomposition Resolving Extreme Data Scarcity by Explicit Physics Integration: An Application to Groundwater Heat Transport SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling Is This Predictor More Informative than Another? A Decision-Theoretical Comparison A Selective Quantization Tuner for ONNX Models Spectral Bellman Method: Unifying Representation and Exploration in RL Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning Sparse identification of nonlinear dynamics with library optimization mechanism: Recursive long-term prediction perspective MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge Pulling Back the Curtain on Deep Networks ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening SCAR: State-Space Compression for Scalable AI-Based Network Management of Vehicular Services Biased Local SGD for Efficient Deep Learning on Heterogeneous Systems SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce Graph Learning via Logic-Based Weisfeiler-Leman Variants and Tabularization FLARE: Fast Low-rank Attention Routing Engine Constructing 3D Rotational Invariance and Equivariance with Symmetric Tensor Networks SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization Finance-Grounded Optimization For Algorithmic Trading Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors Meta-Learning Reinforcement Learning for Crypto-Return Prediction Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables The Multi-Query Paradox in Zeroth-Order Optimization Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification Unrolled Graph Neural Networks for Constrained Optimization StefaLand: An Efficient Geoscience Foundation Model That Improves Dynamic Land-Surface Predictions Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning Frictional Q-Learning Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials Investigating Modality Contribution in Audio LLMs for Music Stability of In-Context Learning: A Spectral Coverage Perspective Uncertainty-Aware Knowledge Tracing Models Evidence for Limited Metacognition in LLMs Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness Reinforcement Learning for Durable Algorithmic Recourse Aurora: Towards Universal Generative Multimodal Time Series Forecasting The Flood Complex: Large-Scale Persistent Homology on Millions of Points Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting Dense associative memory for Gaussian distributions Revisiting Multivariate Time Series Forecasting with Missing Values Anchored Supervised Fine-Tuning Monotonic Transformation Invariant Multi-task Learning Pretraining Scaling Laws for Generative Evaluations of Language Models Putnam-like dataset summary: LLMs as mathematical competition contestants Planning-Augmented Sampling with Early Guidance for High-Reward Discovery A Forensic Analysis of Synthetic Data in RL: Diagnosing and Solving Algorithmic Failures in Model-Based Policy Optimization The Three Regimes of Offline-to-Online Reinforcement Learning Normality Calibration in Semi-supervised Graph Anomaly Detection Flatness-Aware Stochastic Gradient Langevin Dynamics How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning TROLL: Trust Regions improve Reinforcement Learning for Large Language Models Simple Policy Gradients for Reasoning with Diffusion Language Models MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering Hypernetwork-Driven Low-Rank Adaptation Across Attention Heads PatternKV: Flattening KV Representation Expands Quantization Headroom When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation Learning Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs Designing ReLU Generative Networks to Enumerate Trees with a Given Tree Edit Distance Prediction Markets with Intermittent Contributions Message Passing on the Edge: Towards Scalable and Expressive GNNs Context-Selective State Space Models: Feedback is All You Need Model-agnostic Selective Labeling with Provable Statistical Guarantees LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning Functional Distribution Networks (FDN) VeFA: Vector-Based Feature Space Adaptation for Robust Model Fine-Tuning ELUTQ: Optimizing Quantization Accuracy under LUT-Based Computation for Edge LLMs Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity BOND: License to Train with Black-Box Functions BOLT-GAN: Bayes-Error-Motivated Objective for Stable GAN Training On Purely Private Covariance Estimation VecComp: Vector Computing via MIMO Digital Over-the-Air Computation Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them Contamination Detection for VLMs using Multi-Modal Semantic Perturbation Forgetting is Everywhere Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control Geometric-disentangelment Unlearning Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs Quantized-Tinyllava: a new multimodal foundation model enables efficient split learning UMM-RM: An Upcycle-and-Merge MoE Reward Model for Mitigating Reward Hacking WUSH: Near-Optimal Adaptive Transforms for LLM Quantization Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks Agentic Policy Optimization via Instruction-Policy Co-Evolution When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models MINIF2F-DAFNY: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering On the Design of One-step Diffusion via Shortcutting Flow Paths On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models PIS: A Generalized Physical Inversion Solver for Arbitrary Sparse Observations via Set Conditioned Flow Matching In-Context Multi-Operator Learning with DeepOSets Persistent Multiscale Density-based Clustering On the Convergence Rate of LoRA Gradient Descent Benchmarking neural surrogates on realistic spatiotemporal multiphysics flows The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies Learning to Reason in LLMs by Expectation Maximization Performative Policy Gradient: Optimality in Performative Reinforcement Learning Analytic and Variational Stability in Deep Learning Systems Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model Unifying Learning Dynamics and Generalization in Transformers Scaling Law EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs Multi-Task Learning for Metal Alloy Property Prediction: An Empirical Study of Negative Transfer and Mitigation Strategies High-Dimensional Search, Low-Dimensional Solution: Decoupling Optimization from Representation When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation Imitation from Observations with Trajectory-Level Generative Embeddings Dichotomous Diffusion Policy Optimization Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces Critic-Guided Reinforcement Unlearning in Text-to-Image Diffusion Clinical Data Goes MEDS? Let's OWL make sense of it FibreCastML: An Open Web Platform for Predicting Electrospun Nanofibre Diameter Distributions Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerated Kernels AntiPaSTO: Self-Supervised Honesty Steering via Anti-Parallel Representations SimMerge: Learning to Select Merge Operators from Similarity Signals Shape-morphing programming of soft materials on complex geometries via neural operator A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data Why Inference in Large Models Becomes Decomposable After Training Calibrated Probabilistic Interpolation for GEDI Biomass A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs Weighted Graph Clustering via Scale Contraction and Graph Structure Learning From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic Toward Learning POMDPs Beyond Full-Rank Actions and State Observability FloydNet: A Learning Paradigm for Global Relational Reasoning GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction Membership Inference Attacks Against Fine-tuned Diffusion Language Models Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning Less is More: Clustered Cross-Covariance Control for Offline RL Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification Accurate Network Traffic Matrix Prediction via LEAD: a Large Language Model-Enhanced Adapter-Based Conditional Diffusion Model HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing Shaping capabilities with token-level data filtering Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation Hardware-Triggered Backdoors Latent Adversarial Regularization for Offline Preference Optimization Attention Isn't All You Need for Emotion Recognition:Domain Features Outperform Transformers on the EAV Dataset Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success EUGens: Efficient, Unified, and General Dense Layers Environment-Conditioned Tail Reweighting for Total Variation Invariant Risk Minimization Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference CATTO: Balancing Preferences and Confidence in Language Models To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series MeshGraphNet-Transformer: Scalable Mesh-based Learned Simulation for Solid Mechanics TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training VC Theory for Inventory Policies Conditional diffusion models for downscaling and bias correction of Earth system model precipitation Efficient Transformer Encoders for Mask2Former-style models Future frame prediction in chest and liver cine MRI using the PCA respiratory motion model: comparing transformers and dynamically trained recurrent neural networks Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection Graph Max Shift: A Hill-Climbing Method for Graph Clustering Quantum Re-Uploading for Calorimetry: Optimized Architectures with Extended Expressivity BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data Data denoising with self consistency, variance maximization, and the Kantorovich dominance Large Multimodal Models for Low-Resource Languages: A Survey Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based? Sample-Efficient Diffusion-based Control of Complex Physics Systems Helios 2.0: A Robust, Ultra-Low Power Gesture Recognition System Optimised for Event-Sensor based Wearables Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey CAARMA: Class Augmentation with Adversarial Mixup Regularization Automated Archival Descriptions with Federated Intelligence of LLMs EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects Surrogate to Poincar\'e inequalities on manifolds for dimension reduction in nonlinear feature spaces Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories Transportability without Graphs: A Bayesian Approach to Identifying s-Admissible Backdoor Sets U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance On Theoretical Identifiability of Discrete Latent Causal Graphical Models Do Large Language Models (Really) Need Statistical Foundations? Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control Reading Recognition in the Wild AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials Safely Learning Controlled Stochastic Dynamics HueManity: Probing Fine-Grained Visual Perception in MLLMs Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models Transferring Visual Explainability of Self-Explaining Models to Prediction-Only Models without Additional Training DP-Fusion: Token-Level Differentially Private Inference for Large Language Models The neural networks with tensor weights and emergent fermionic Wick rules in the large-width limit Lost in Localization: Building RabakBench with Human-in-the-Loop Validation to Measure Multilingual Safety Gaps When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values Multivariate Standardized Residuals for Conformal Prediction MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making SWE-Exp: Experience-Driven Software Issue Resolution Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding Understanding and Mitigating Errors of LLM-Generated RTL Code BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Elicitation Quantum Flow Matching ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis Enabling Approximate Joint Sampling in Diffusion LMs Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs Unifying Agent Interaction and World Information for Multi-agent Coordination STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents Test time training enhances in-context learning of nonlinear functions BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science On The Statistical Limits of Self-Improving Agents MARS: Co-evolving Dual-System Deep Research via Multi-Agent Reinforcement Learning Learning Operators through Coefficient Mappings in Fixed Basis Spaces FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning HAMLOCK: HArdware-Model LOgically Combined attacK Are Large Language Models Sensitive to the Motives Behind Communication? A Survey on Efficient Vision-Language-Action Models A Proof of Learning Rate Transfer under $\mu$P TabRAG: Improving Tabular Document Question Answering for Retrieval Augmented Generation via Structured Representations Multi-period Learning for Financial Time Series Forecasting QUASAR: An Evolutionary Algorithm to Accelerate High-Dimensional Numerical Optimization Your Latent Reasoning is Secretly Policy Improvement Operator AVERY: Adaptive VLM Split Computing through Embodied Self-Awareness for Efficient Disaster Response Systems CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT Measuring Agents in Production Inference-time Stochastic Refinement of GRU-Normalizing Flow for Real-time Video Motion Transfer Model-Free Assessment of Simulator Fidelity via Quantile Curves MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation Fast Policy Learning for 6-DOF Position Control of Underwater Vehicles A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems A Backpropagation-Free Feedback-Hebbian Network for Continual Learning Dynamics X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching Harmonica: A Self-Adaptation Exemplar for Sustainable MLOps AI-generated data contamination erodes pathological variability and diagnostic reliability Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference Trust Me, I'm an Expert: Decoding and Steering Authority Bias in Large Language Models Graph Neural Networks are Heuristics ConceptCaps: a Distilled Concept Dataset for Interpretability in Music Models Evaluation on Entity Matching in Recommender Systems Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis The augmented NLP bound for maximum-entropy remote sampling A Diffusive Classification Loss for Learning Energy-based Generative Models Music Plagiarism Detection: Problem Formulation and a Segment-based Solution Optimizing Agentic Workflows using Meta-toolsArxiv cs.AI
Scalable and Secure AI Inference in Healthcare: A Comparative Benchmarking of FastAPI and Triton Inference Server on Kubernetes Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets From Gameplay Traces to Game Mechanics: Causal Induction with Large Language Models Complete Identification of Deep ReLU Neural Networks by Many-Valued Logic Localizing and Correcting Errors for LLM-based Planners Assessing Domain-Level Susceptibility to Emergent Misalignment from Narrow Finetuning Autonomous Data Processing using Meta-Agents SayNext-Bench: Why Do LLMs Struggle with Next-Utterance Prediction? MHDash: An Online Platform for Benchmarking Mental Health-Aware AI Assistants Position: Agentic Evolution is the Path to Evolving LLMs POET: Protocol Optimization via Eligibility Tuning KEPO: Knowledge-Enhanced Preference Optimization for Reinforcement Learning with Reasoning RobustDebias: Debiasing Language Models using Distributionally Robust Optimization PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Multimodal Agents Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks Cross-Modal Memory Compression for Efficient Multi-Agent Debate Benchmarking Agents in Insurance Underwriting Environments Dual Latent Memory for Visual Multi-agent System Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models PCBSchemaGen: Constraint-Guided Schematic Design via LLM for Printed Circuit Boards (PCB) Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing Unmasking Reasoning Processes: A Process-aware Benchmark for Evaluating Structural Mathematical Reasoning in LLMs Learning Modal-Mixed Chain-of-Thought Reasoning with Latent Embeddings Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification Exploring Information Seeking Agent Consolidation DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design Structured Self-Consistency:A Multi-Task Evaluation of LLMs on VirtualHome Inference-Only Prompt Projection for Safe Text-to-Image Generation with TV Guarantees Predictive Maintenance for Ultrafiltration Membranes Using Explainable Similarity-Based Prognostics SEISMO: Increasing Sample Efficiency in Molecular Optimization with a Trajectory-Aware LLM Agent OpenGuanDan: A Large-Scale Imperfect Information Game Benchmark HumanStudy-Bench: Towards AI Agent Design for Participant Simulation From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development Self-Guard: Defending Large Reasoning Models via enhanced self-reflection Physics-informed Diffusion Generation for Geomagnetic Map Interpolation Learning More from Less: Unlocking Internal Representations for Benchmark Compression Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations Engineering AI Agents for Clinical Workflows: A Case Study in Architecture,MLOps, and Governance Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models World Models as an Intermediary between Agents and the Real World MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward Persuasion Propagation in LLM Agents Position: Human-Centric AI Requires a Minimum Viable Level of Human Understanding Multi-Head Attention Is a Multi-Player Game Foundation CAN LM: A Pretrained Language Model For Automotive CAN Data Beyond Output Critique: Self-Correction via Task Distillation Synapse Compendium Aware Federated Knowledge Exchange for Tool Routed LLMs Supervised sparse auto-encoders as unconstrained feature models for semantic composition Learning Abstractions for Hierarchical Planning in Program-Synthesis Agents The Keyhole Effect: Why Chat Interfaces Fail at Data Analysis MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support R-HTN: Rebellious Online HTN Planning for Safety and Game AI Small-Margin Preferences Still Matter-If You Train Them Right Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning Error Taxonomy-Guided Prompt Optimization How RLHF Amplifies Sycophancy HalluHard: A Hard Multi-Turn Hallucination Benchmark Discovering Process-Outcome Credit in Multi-Step LLM Reasoning SetPO: Set-Level Policy Optimization for Diversity-Preserving LLM Reasoning ConvexBench: Can LLMs Recognize Convex Functions? AutoHealth: An Uncertainty-Aware Multi-Agent System for Autonomous Health Data Modeling EvoOpt-LLM: Evolving industrial optimization models with large language models MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI Hard Constraints Meet Soft Generation: Guaranteed Feasibility for LLM-based Combinatorial Optimization Probing RLVR training instability through the lens of objective-level hacking Transforming Vehicle Diagnostics: A Multimodal Approach to Error Patterns Prediction Lyapunov Stability-Aware Stackelberg Game for Low-Altitude Economy: A Control-Oriented Pruning-Based DRL Approach PersistBench: When Should Long-Term Memories Be Forgotten by LLMs? Capabilities and Fundamental Limits of Latent Chain-of-Thought Multi-Agent Causal Reasoning System for Error Pattern Rule Automation in Vehicles Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models ASP-Bench: From Natural Language to Logic Programs A State-Transition Framework for Efficient LLM Reasoning Workflow-R1: Group Sub-sequence Policy Optimization for Multi-turn Workflow Construction Addressing Explainability of Generative AI using SMILE (Statistical Model-agnostic Interpretability with Local Explanations) Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models FutureMind: Equipping Small Language Models with Strategic Thinking-Pattern Priors via Adaptive Knowledge Distillation Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models LLM-Driven Ontology Construction for Enterprise Knowledge Graphs RE-MCDF: Closed-Loop Multi-Expert LLM Reasoning for Knowledge-Grounded Clinical Diagnosis Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance Aggregation Queries over Unstructured Text: Benchmark and Agentic Method Building Better Deception Probes Using Targeted Instruction Pairs SimGym: Traffic-Grounded Browser Agents for Offline A/B Testing in E-Commerce Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering Legal Infrastructure for Transformative AI Governance Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models Qrita: High-performance Top-k and Top-p Algorithm for GPUs using Pivot-based Truncation and Selection PRISM: Festina Lente Proactivity -- Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety S1-NexusAgent: a Self-Evolving Agent Framework for Multidisciplinary Scientific Research Autonomous Question Formation for Large Language Model-Driven AI Systems Reasoning with Autoregressive-Diffusion Collaborative Thoughts ToPT: Task-Oriented Prompt Tuning for Urban Region Representation Learning ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios What LLMs Think When You Don't Tell Them What to Think About? Beyond Dense States: Elevating Sparse Transcoders to Active Operators for Latent Reasoning Mitigating loss of control in advanced AI systems through instrumental goal trajectories Optimizing Prompts for Large Language Models: A Causal Approach MACD: Model-Aware Contrastive Decoding via Counterfactual Data Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking PRISM: Parametrically Refactoring Inference for Speculative Sampling Draft Models Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction LingLanMiDian: Systematic Evaluation of LLMs on TCM Knowledge and Clinical Reasoning ORCH: many analyses, one merge-a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery Synesthesia of Vehicles: Tactile Data Synthesis from Visual Inputs ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems SOPRAG: Multi-view Graph Experts Retrieval for Industrial Standard Operating Procedures ProcMEM: Learning Reusable Procedural Memory from Experience via Non-Parametric PPO for LLM Agents Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models Geometric Analysis of Token Selection in Multi-Head Attention DomusFM: A Foundation Model for Smart-Home Sensor Data Large Language Model and Formal Concept Analysis: a comparative study for Topic Modeling Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models Evolving from Tool User to Creator via Training-Free Experience Reuse in Multimodal Reasoning Emergent Analogical Reasoning in Transformers Thinking Like a Doctor: Conversational Diagnosis through the Exploration of Diagnostic Knowledge Graphs Do I Really Know? Learning Factual Self-Verification for Hallucination Reduction Light Alignment Improves LLM Safety via Model Self-Reflection with a Single Neuron Edit Knowledge, Not Just Facts via Multi-Step Reasoning over Background Stories Canonical Intermediate Representation for LLM-based optimization problem formulation and code generation Constrained Process Maps for Multi-Agent Generative AI Workflows Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents SIDiffAgent: Self-Improving Diffusion Agent Understanding the Reversal Curse Mitigation in Masked Diffusion Models through Attention and Training Dynamics Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models Traffic-Aware Navigation in Road Networks Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents More Than a Quick Glance: Overcoming the Greedy Bias in KV-Cache Compression Position: Explaining Behavioral Shifts in Large Language Models Requires a Comparative Approach Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient Context Learning for Multi-Agent Discussion Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing Structure Enables Effective Self-Localization of Errors in LLMs SafeGround: Know When to Trust GUI Grounding Models via Uncertainty Calibration Thinking with Comics: Enhancing Multimodal Reasoning through Structured Visual Storytelling Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction MentisOculi: Revealing the Limits of Reasoning with Mental Imagery Avenir-Web: Human-Experience-Imitating Multimodal Web Agents with Mixture of Grounding Experts Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge AgentRx: Diagnosing AI Agent Failures from Execution Trajectories Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning Federated Learning With Individualized Privacy Through Client Sampling Reinforcement Learning via Conservative Agent for Environments with Random Delays Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation Disentangled Interest Network for Out-of-Distribution CTR Prediction Efficient Multilingual Search Relevance Modeling in E-Commerce via LLM Mixture-of-Experts PPoGA: Predictive Plan-on-Graph with Action for Knowledge Graph Question Answering Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking Chained Prompting for Better Systematic Review Search Strategies OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models What Artificial Intelligence can do for High-Performance Computing systems? G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models PTCBENCH: Benchmarking Contextual Stability of Personality Traits in LLM Systems SafeTalkCoach: Diversity-Driven Multi-Agent Simulation for Parent-Teen Health Conversations AutoBinder Agent: An MCP-Based Agent for End-to-End Protein Binder Design Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation Early Warning Signals Appear Long Before Dropping Out: An Idiographic Approach Grounded in Complex Dynamic Systems Theory Strategies for Creating Uncertainty in the AI Era to Trigger Students Critical Thinking: Pedagogical Design, Assessment Rubric, and Exam System Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems Construct, Align, and Reason: Large Ontology Models for Enterprise Knowledge Management Happy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation Synthetic Student Responses: LLM-Extracted Features for IRT Difficulty Parameter Estimation LOGOS-CA: A Cellular Automaton Using Natural Language as State and Rule Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion Enhancing few-shot time series forecasting with LLM-guided diffusion Student Perceptions of Large Language Models Use in Self-Reflection and Design Critique in Architecture Studio JSR-GFNet: Jamming-to-Signal Ratio-Aware Dynamic Gating for Interference Classification in future Cognitive Global Navigation Satellite Systems When LLMs Imagine People: A Human-Centered Persona Brainstorm Audit for Bias and Fairness in Creative Applications Lightweight Edge Learning via Dataset Pruning Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization TextBFGS: Quasi-Newton Optimization for Discrete Executable Text via Gradient-Operator Retrieval A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods Simple Role Assignment is Extraordinarily Effective for Safety Alignment SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism The Impact of Machine Learning Uncertainty on the Robustness of Counterfactual Explanations SPGCL: Effective Graph Contrastive Learning via SVD-Guided Structural Perturbation Responsible Evaluation of AI for Mental Health Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning Adoption and Use of LLMs at an Academic Medical Center Standards for trustworthy AI in the European Union: technical rationale, structural challenges, and an implementation path Design and Empirical Study of a Large Language Model-Based Multi-Agent Investment System for Chinese Public REITs SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction ECCO: Evidence-Driven Causal Reasoning for Compiler Optimization From Numbers to Prompts: A Cognitive Symbolic Transition Mechanism for Lightweight Time-Series Forecasting Generative Artificial Intelligence in Small and Medium Enterprises: Navigating its Promises and Challenges Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions Mirage2Matter: A Physically Grounded Gaussian World Model from Video Frequent Pattern Mining approach to Image Compression Radiomics in Medical Imaging: Methods, Applications, and Challenges Autonomous Multi-Agent AI for High-Throughput Polymer Informatics: From Property Prediction to Generative Design Across Synthetic and Bio-Polymers R3G: A Reasoning--Retrieval--Reranking Framework for Vision-Centric Answer Generation HYPE-EDIT-1: Benchmark for Measuring Reliability in Frontier Image Editing Models SITUATE -- Synthetic Object Counting Dataset for VLM training 1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization IC-EO: Interpretable Code-based assistant for Earth Observation VDE Bench: Evaluating The Capability of Image Editing Models to Modify Visual Documents MiniTensor: A Lightweight, High-Performance Tensor Operations Library PredictionMarketBench: A SWE-bench-Style Framework for Backtesting Trading Agents on Prediction Markets Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields Reversible Diffusion Decoding for Diffusion Language Models Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency Real-Time Human Activity Recognition on Edge Microcontrollers: Dynamic Hierarchical Inference with Multi-Spectral Sensor Fusion See Without Decoding: Motion-Vector-Based Tracking in Compressed Video ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models ProDCARL: Reinforcement Learning-Aligned Diffusion Models for De Novo Antimicrobial Peptide Design RAPTOR: Ridge-Adaptive Logistic Probes Sheaf Neural Networks and biomedical applications Block removal for large language models through constrained binary optimization Why Are AI Agent Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints Towards Agentic Intelligence for Materials Science The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective Learning Robust Reasoning through Guided Adversarial Self-Play The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization Stabilizing Diffusion Posterior Sampling by Noise--Frequency Continuation Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning EigenAI: Deterministic Inference, Verifiable Results Visible Singularities Guided Correlation Network for Limited-Angle CT Reconstruction QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities LPIPS-AttnWav2Lip: Generic Audio-Driven lip synchronization for Talking Head Generation in the Wild AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange On the calibration of survival models with competing risks Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction SCALED : Surrogate-gradient for Codec-Aware Learning of Downsampling in ABR Streaming Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity Interpretable Unsupervised Deformable Image Registration via Confidence-bound Multi-Hop Visual Reasoning TessPay: Verify-then-Pay Infrastructure for Trusted Agentic Commerce A Geometric Multimodal Foundation Model Integrating Bp-MRI and Clinical Reports in Prostate Cancer Classification Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation MapDream: Task-Driven Map Learning for Vision-Language Navigation DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories TokenTrim: Inference-Time Token Pruning for Autoregressive Long Video Generation VoxServe: Streaming-Centric Serving System for Speech Language Models Training LLMs with Fault Tolerant HSDP on 100,000 GPUs Sample Complexity Analysis for Constrained Bilevel Reinforcement Learning TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs LogicGaze: Benchmarking Causal Consistency in Visual Narratives via Counterfactual Verification Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study Semantics-Preserving Evasion of LLM Vulnerability Detectors Opportunistic Promptable Segmentation: Leveraging Routine Radiological Annotations to Guide 3D CT Lesion Segmentation Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection Detecting AI-Generated Content in Academic Peer Reviews In-Run Data Shapley for Adam Optimizer Bridging the Semantic Chasm: Synergistic Conceptual Anchoring for Generalized Few-Shot and Zero-Shot OOD Perception Standardized Methods and Recommendations for Green Federated Learning When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning Post-Training Probability Manifold Correction via Structured SVD Pruning and Self-Referential Distillation Generalized Inverses of Matrix Products: From Fundamental Subspaces to Randomized Decompositions Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs Variational Approach for Job Shop Scheduling Robustness of AutoML on Dirty Categorical Data Text is All You Need for Vision-Language Model Jailbreaking LLMs as High-Dimensional Nonlinear Autoregressive Models with Attention: Training, Alignment and Inference When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems LatentTrack: Sequential Weight Generation via Latent Filtering LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs PAIR-Former: Budgeted Relational MIL for miRNA Target Prediction Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations Quantum Phase Recognition via Quantum Attention Mechanism Quality-Diversity Optimization as Multi-Objective Optimization From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering Culturally-Grounded Governance for Multilingual Language Models: Rights, Data Boundaries, and Accountable AI Design Sparse Shortcuts: Facilitating Efficient Fusion in Multimodal Large Language Models Contrastive Learning for Privacy Enhancements in Industrial Internet of Things Physiology as Language: Translating Respiration to Sleep EEG Convergent World Representations and Divergent Tasks Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models Data Distribution as a Lever for Guiding Optimizers Toward Superior Generalization in LLMs MAUGen: A Unified Diffusion Approach for Multi-Identity Facial Expression and AU Label Generation RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine Multimodal Machine Learning for Integrating Heterogeneous Analytical Systems Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling Jailbreaking LLMs via Calibration Rethinking Zero-Shot Time Series Classification: From Task-specific Classifiers to In-Context Inference MoDEx: Mixture of Depth-specific Experts for Multivariate Long-term Time Series Forecasting From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs Action-Free Offline-to-Online RL via Discretised State Policies S$^3$POT: Contrast-Driven Face Occlusion Segmentation via Self-Supervised Prompt Learning Non-Contrastive Vision-Language Learning with Predictive Embedding Alignment Can Small Language Models Handle Context-Summarized Multi-Turn Customer-Service QA? A Synthetic Data-Driven Comparative Evaluation Improving Neuropathological Reconstruction Fidelity via AI Slice Imputation RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment Forecasting Energy Availability in Local Energy Communities via LSTM Federated Learning From Detection to Prevention: Explaining Security-Critical Code to Avoid Vulnerabilities Deep Time-series Forecasting Needs Kernelized Moment Balancing Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics EchoReview: Learning Peer Review from the Echoes of Scientific Citations Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization ExperienceWeaver: Optimizing Small-sample Experience Learning for LLM-based Clinical Text Improvement SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training HyperOffload: Graph-Driven Hierarchical Memory Management for Large Language Models on SuperNode Architectures Bypassing Prompt Injection Detectors through Evasive Injections GraphNNK -- Graph Classification and Interpretability Evolving Interpretable Constitutions for Multi-Agent Simulation Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning Evaluating Deep Learning-Based Nerve Segmentation in Brachial Plexus Ultrasound Under Realistic Data Constraints BLOCK-EM: Preventing Emergent Misalignment by Blocking Causal Features Eliciting Trustworthiness Priors of Large Language Models via Economic Games Controlling Repetition in Protein Language Models Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors Latent Shadows: The Gaussian-Discrete Duality in Masked Diffusion JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation Don't Forget Its Variance! The Minimum Path Variance Principle for Accurate and Stable Score-Based Density Ratio Estimation Exploration of Unary Arithmetic-Based Matrix Multiply Units for Low Precision DL Accelerators Factuality on Demand: Controlling the Factuality-Informativeness Trade-off in Text Generation RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs Improving Flow Matching by Aligning Flow Divergence DIAMOND: Directed Inference for Artifact Mitigation in Flow Matching Models EffGen: Enabling Small Language Models as Capable Autonomous Agents GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing Do Schwartz Higher-Order Values Help Sentence-Level Human Value Detection? When Hard Gating Hurts A Baseline Multimodal Approach to Emotion Recognition in Conversations Continuous-Utility Direct Preference Optimization MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining Neural FOXP2 -- Language Specific Neuron Steering for Targeted Language Improvement in LLMs FinEvo: From Isolated Backtests to Ecological Market Games for Multi-Agent Financial Strategy Evolution Multimodal Scientific Learning Beyond Diffusions and Flows GradingAttack: Attacking Large Language Models Towards Short Answer Grading Ability MedSpeak: A Knowledge Graph-Aided ASR Error Correction Framework for Spoken Medical QA Navigating Simply, Aligning Deeply: Winning Solutions for Mouse vs. AI 2025 DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning LASS-ODE: Scaling ODE Computations to Connect Foundation Models with Dynamical Physical Systems Multi-Agent Teams Hold Experts Back How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments Offline Discovery of Interpretable Skills from Multi-Task Trajectories Inter- and Intra-Subject Variability in EEG: A Systematic Survey Calibrating Behavioral Parameters with Large Language Models Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models HierCon: Hierarchical Contrastive Attention for Audio Deepfake Detection VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection Superposition unifies power-law training dynamics Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning TLDiffGAN: A Latent Diffusion-GAN Framework with Temporal Information Fusion for Anomalous Sound Detection Personality Expression Across Contexts: Linguistic and Behavioral Variation in LLM Agents From Utterance to Vividity: Training Expressive Subtitle Translation LLM via Adaptive Local Preference Optimization Vortex Stretching in the Navier-Stokes Equations and Information Dissipation in Diffusion Models: A Reformulation from a Partial Differential Equation Viewpoint OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases SPELL: Synthesis of Programmatic Edits using LLMs MarkovScale: Towards Optimal Sequential Scaling at Inference Time Statistical MIA: Rethinking Membership Inference Attack for Reliable Unlearning Auditing Multi-Horizon Electricity Price Forecasting with Deep Learning in the Australian National Electricity Market Semantically Aware UAV Landing Site Assessment from Remote Sensing Imagery via Multimodal Large Language Models FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation AI Meets Plasticity: A Comprehensive Survey Learning from Anonymized and Incomplete Tabular Data Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority Lotus: Efficient LLM Training by Randomized Low-Rank Gradient Projection with Adaptive Subspace Switching Mechanistic Interpretability of Brain-to-Speech Models Across Speech Modes Sample Efficient Active Algorithms for Offline Reinforcement Learning PACER: Blockwise Pre-verification for Speculative Decoding with Adaptive Length Multi-LLM Adaptive Conformal Inference for Reliable LLM Responses Dispelling the Curse of Singularities in Neural Network Optimizations EverMemBench: Benchmarking Long-Term Interactive Memory in Large Language ModelsEverMemBench: Benchmarking Long-Term Interactive Memory in Large Language Models TxRay: Agentic Postmortem of Live Blockchain Attacks Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning Adaptive Quantum-Safe Cryptography for 6G Vehicular Networks via Context-Aware Optimization Towards knowledge-based workflows: a semantic approach to atomistic simulations for mechanical and thermodynamic properties PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation PolyGen: Fully Synthetic Vision-Language Training via Multi-Generator Ensembles Context Dependence and Reliability in Autoregressive Language Models "If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace How well can VLMs rate audio descriptions: A multi-dimensional quantitative assessment framework An Odd Estimator for Shapley Values From Pragmas to Partners: A Symbiotic Evolution of Agentic High-Level Synthesis Semi-supervised CAPP Transformer Learning via Pseudo-labeling DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data CIPHER: Cryptographic Insecurity Profiling via Hybrid Evaluation of Responses TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse The Gradient-Causal Gap: Why Gradient Importance Fails on Complex Tasks SentiFuse: Deep Multi-model Fusion Framework for Robust Sentiment Extraction Cross-Paradigm Evaluation of Gaze-Based Semantic Object Identification for Intelligent Vehicles Understanding vision transformer robustness through the lens of out-of-distribution detection P-EAGLE: Parallel-Drafting EAGLE with Scalable Training Rod Flow: A Continuous-Time Model for Gradient Descent at the Edge of Stability Community-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain Mapping Causal Preference Elicitation OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference Draw2Learn: A Human-AI Collaborative Tool for Drawing-Based Science Learning Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systems Harnessing Flexible Spatial and Temporal Data Center Workloads for Grid Regulation Services MarkCleaner: High-Fidelity Watermark Removal via Imperceptible Micro-Geometric Perturbation White-Box Neural Ensemble for Vehicular Plasticity: Quantifying the Efficiency Cost of Symbolic Auditability in Adaptive NMPC You Need an Encoder for Native Position-Independent Caching A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning Toward a Machine Bertin: Why Visualization Needs Design Principles for Machine Cognition Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars Toward Cognitive Supersensing in Multimodal Large Language Model Plain Transformers are Surprisingly Powerful Link Predictors InfoTok: Regulating Information Flow for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media Generative Visual Code Mobile World Models DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations Provable Defense Framework for LLM Jailbreaks via Noise-Augumented Alignment Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting The Multiple Ticket Hypothesis: Random Sparse Subnetworks Suffice for RLVR Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching A Practical Tensor-Network Compression Pipeline for Production-Scale Large Language Models AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems SUSD: Structured Unsupervised Skill Discovery through State Factorization Toward Enhancing Representation Learning in Federated Multi-Task Settings HuPER: A Human-Inspired Framework for Phonetic Perception The Effect of Mini-Batch Noise on the Implicit Bias of Adam De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion From Perception to Action: Spatial AI Agents and World Models Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning On the Spatiotemporal Dynamics of Generalization in Neural Networks Efficient Adversarial Attacks on High-dimensional Offline Bandits CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting AI-Assisted Adaptive Rendering for High-Frequency Security Telemetry in Web Interfaces Real-Time Loop Closure Detection in Visual SLAM via NetVLAD and Faiss Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications FreshMem: Brain-Inspired Frequency-Space Hybrid Memory for Streaming Video Understanding The Strategic Foresight of LLMs: Evidence from a Fully Prospective Venture Tournament Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment Counting Hypothesis: Potential Mechanism of In-Context Learning Cross-Modal Alignment and Fusion for RGB-D Transmission-Line Defect Detection Meta Engine: A Unified Semantic Query Engine on Heterogeneous LLM-Based Query Systems Beyond Mode Elicitation: Diversity-Preserving Reinforcement Learning via Latent Diffusion Reasoner Game of Thought: Robust Information Seeking with Large Language Models Using Game Theory Physics Informed Generative AI Enabling Labour Free Segmentation For Microscopy Analysis BBPE16: UTF-16-based byte-level byte-pair encoding for improved multilingual speech recognition SafePred: A Predictive Guardrail for Computer-Using Agents via World Models Softmax Linear Attention: Reclaiming Global Competition Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention Backdoor Sentinel: Detecting and Detoxifying Backdoors in Diffusion Models via Temporal Noise Consistency CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination: One LLM Token for Explicit Graph Structural Understanding DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions Time2Vec-Integrated Transformer for Robust Gesture Recognition from Low-Density sEMG GRAB: An LLM-Inspired Sequence-First Click-Through Rate Prediction Modeling Paradigm ES-MemEval: Benchmarking Conversational Agents on Personalized Long-Term Emotional Support Learning Sparse Visual Representations via Spatial-Semantic Factorization DSXFormer: Dual-Pooling Spectral Squeeze-Expansion and Dynamic Context Attention Transformer for Hyperspectral Image Classification Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration VLM-Guided Experience Replay PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks COLT: Lightweight Multi-LLM Collaboration through Shared MCTS Reasoning for Model Compilation PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy Human Society-Inspired Approaches to Agentic AI Security: The 4C Framework Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation Zero-Shot Off-Policy Learning Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning SAME: Stabilized Mixture-of-Experts for Multimodal Continual Instruction Tuning Optimizing Tensor Train Decomposition in DNNs for RISC-V Architectures Using Design Space Exploration and Compiler Optimizations On the Limits of Layer Pruning for Generative Reasoning in LLMs SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs ClueTracer: Question-to-Vision Clue Tracing for Training-Free Hallucination Suppression in Multimodal Reasoning Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation Rethinking Genomic Modeling Through Optical Character Recognition One Size, Many Fits: Aligning Diverse Group-Wise Click Preferences in Large-Scale Advertising Image Generation Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization Auto-Comp: An Automated Pipeline for Scalable Compositional Probing of Contrastive Vision-Language Models FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers Multi-View Stenosis Classification Leveraging Transformer-Based Multiple-Instance Learning Using Real-World Clinical Data LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs WADEPre: A Wavelet-based Decomposition Model for Extreme Precipitation Nowcasting with Multi-Scale Learning Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning The Verification Crisis: Expert Perceptions of GenAI Disinformation and the Case for Reproducible Provenance Unifying Masked Diffusion Models with Various Generation Orders and Beyond Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies Two-Stage Grid Optimization for Group-wise Quantization of LLMs Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems EvoMU: Evolutionary Machine Unlearning Learning Generative Selection for Best-of-N Back to the Future: Look-ahead Augmentation and Parallel Self-Refinement for Time Series Forecasting ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning Self-Evolving Coordination Protocol in Multi-Agent AI Systems: An Exploratory Systems Feasibility Study SurvKAN: A Fully Parametric Survival Model Based on Kolmogorov-Arnold Networks Malware Detection Through Memory Analysis Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models State Rank Dynamics in Linear Attention LLMs Hierarchical Adaptive Eviction for KV Cache Management in Multimodal Language Models Cardinality-Preserving Structured Sparse Graph Transformers for Molecular Property Prediction Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study Generating Physically Sound Designs from Text and a Set of Physical Constraints Spectral Superposition: A Theory of Feature Geometry SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting Geometry- and Relation-Aware Diffusion for EEG Super-Resolution OmniCode: A Benchmark for Evaluating Software Engineering Agents Unsupervised Physics-Informed Operator Learning through Multi-Stage Curriculum Training OpenSeal: Good, Fast, and Cheap Construction of an Open-Source Southeast Asian LLM via Parallel Data Bridging the Sim-to-Real Gap with multipanda ros2: A Real-Time ROS2 Framework for Multimanual Systems RACA: Representation-Aware Coverage Criteria for LLM Safety Testing Backpropagation as Physical Relaxation: Exact Gradients in Finite Time DFKI-Speech System for WildSpoof Challenge: A robust framework for SASV In-the-Wild An Optimization Method for Autoregressive Time Series Forecasting Hallucination or Creativity: How to Evaluate AI-Generated Scientific Stories? Decoupling Generalizability and Membership Privacy Risks in Neural Networks Advancing General-Purpose Reasoning Models with Modular Gradient Surgery Spark: Modular Spiking Neural Networks FragmentFlow: Scalable Transition State Generation for Large Molecules A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics Artificial Intelligence and Symmetries: Learning, Encoding, and Discovering Structure in Physical Data Implicit neural representation of textures SWE-Universe: Scale Real-World Verifiable Environments to Millions ReasonCACHE: Teaching LLMs To Reason Without Weight Updates From Sycophancy to Sensemaking: Premise Governance for Human-AI Decision Making Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation Didactic to Constructive: Turning Expert Solutions into Learnable Reasoning ReasonEdit: Editing Vision-Language Models using Human Reasoning Poly-attention: a general scheme for higher-order self-attention UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization World-Gymnast: Training Robots with Reinforcement Learning in a World Model Abstract Activation Spaces for Content-Invariant Reasoning in Large Language Models Multi-head automated segmentation by incorporating detection head into the contextual layer neural network MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Flow Policy Gradients for Robot Control RE-TRAC: REcursive TRAjectory Compression for Deep Search Agents PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss Reward-free Alignment for Conflicting Objectives T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Mastering NIM and Impartial Games with Weak Neural Networks: An AlphaZero-inspired Multi-Frame Approach Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents Past-Discounting is Key for Learning Markovian Fairness with Long Horizons Automated Archival Descriptions with Federated Intelligence of LLMs FAIRGAME: a Framework for AI Agents Bias Recognition using Game Theory Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions Token-Importance Guided Direct Preference Optimization AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents Digital Simulations to Enhance Military Medical Evacuation Decision-Making LoRA is All You Need for Safety Alignment of Reasoning LLMs MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding Unifying Agent Interaction and World Information for Multi-agent Coordination Learning Reasoning Reward Models from Expert Demonstration via Inverse Reinforcement Learning On The Statistical Limits of Self-Improving Agents MARS: Co-evolving Dual-System Deep Research via Multi-Agent Reinforcement Learning AI and Consciousness RGMem: Renormalization Group-inspired Memory Evolution for Language Agents Extending RLVR to Open-Ended Tasks via Verifiable Multiple-Choice Reformulation IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling Efficient Thought Space Exploration Through Strategic Intervention Heterogeneous Multi-Agent Proximal Policy Optimization for Power Distribution System Restoration You Only Forward Once: An Efficient Compositional Judging Paradigm CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems Reflecting with Two Voices: A Co-Adaptive Dual-Strategy Framework for LLM-Based Agent Decision Making Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning The Illusion of Human AI Parity Under Uncertainty: Navigating Elusive Ground Truth via a Probabilistic Paradigm JudgeFlow: Agentic Workflow Optimization via Block Judge Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models Breaking Up with Normatively Monolithic Agency with GRACE: A Reason-Based Neuro-Symbolic Architecture for Safe and Ethical AI Alignment Graph Neural Networks are Heuristics LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries TransportAgents: a multi-agents LLM framework for traffic accident severity prediction SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems LongCat-Flash-Thinking-2601 Technical Report MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution Insight Agents: An LLM-Based Multi-Agent System for Data Insights AMA: Adaptive Memory via Multi-Agent Collaboration OpenSec: Measuring Incident Response Agent Calibration Under Adversarial Evidence ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization Language-based Trial and Error Falls Behind in the Era of Experience Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework Optimizing Agentic Workflows using Meta-tools Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erd\H{o}s Problems Safe Control and Learning Using Generalized Action Governor Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions Unified Task and Motion Planning using Object-centric Abstractions of Motion Constraints Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction Conditional diffusion models for downscaling and bias correction of Earth system model precipitation Deep Transformer Network for Monocular Pose Estimation of Shipborne Unmanned Aerial Vehicle Instance Temperature Knowledge Distillation Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization FPBoost: Fully Parametric Gradient Boosting for Survival Analysis Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection SVIP: Towards Verifiable Inference of Open-source Large Language Models U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs Enhancing Human-Like Responses in Large Language Models Conformal mapping based Physics-informed neural networks for designing neutral inclusions PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch Decoding Generalization from Memorization in Deep Neural Networks CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation LEAD: An EEG Foundation Model for Alzheimer's Disease Detection Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies How does a Multilingual LM Handle Multiple Languages? SCALM: Detecting Bad Practices in Smart Contracts Through LLMs Large Multimodal Models for Low-Resource Languages: A Survey Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge On the Importance of Pretraining Data Alignment for Atomic Property Prediction Sparse Autoencoder Features for Classifications and Transferability Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination Entropy-Lens: Uncovering Decision Strategies in LLMs Sample-Efficient Diffusion-based Control of Complex Physics Systems Mixtera: A Data Plane for Foundation Model Training Causally Reliable Concept Bottleneck Models Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs Large-Scale Auto-bidding with Nash Equilibrium Constraints 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model DiTOX: Fault Detection and Localization in the ONNX Optimizer Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles Learning-Augmented Power System Operations: A Unified Optimization View UniSymNet: A Unified Symbolic Network Guided by Transformer Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Code-Mixed Phonetic Perturbations for Red-Teaming LLMs RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries Small Models, Smarter Learning: The Power of Joint Task Training ePC: Fast and Deep Predictive Coding for Digital Hardware Experience-based Knowledge Correction for Robust Planning in Minecraft HueManity: Probing Fine-Grained Visual Perception in MLLMs Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache Draft-based Approximate Inference for LLMs PAL: Probing Audio Encoders via LLMs -- Audio Information Transfer into LLMs Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models Identifiability of Deep Polynomial Neural Networks HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models Transferring Visual Explainability of Self-Explaining Models to Prediction-Only Models without Additional Training DP-Fusion: Token-Level Differentially Private Inference for Large Language Models AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research A Selective Quantization Tuner for ONNX Models R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning Information Security Based on LLM Approaches: A Review Multivariate Standardized Residuals for Conformal Prediction MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening Learning Robust Intervention Representations with Delta Embeddings BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Elicitation SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models Quantum Flow Matching ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction Hallucination-Resistant Relation Extraction via Dependency-Aware Sentence Simplification and Two-tiered Hierarchical Refinement End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization Incorporating AI incident reporting into telecommunications law and policy: Insights from India Meta-Learning Reinforcement Learning for Crypto-Return Prediction Estimating Respiratory Effort from Nocturnal Breathing Sounds for Obstructive Sleep Apnoea Screening From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations StefaLand: An Efficient Geoscience Foundation Model That Improves Dynamic Land-Surface Predictions Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning Frictional Q-Learning Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness Reinforcement Learning for Durable Algorithmic Recourse Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting Dense associative memory for Gaussian distributions Revisiting Multivariate Time Series Forecasting with Missing Values Putnam-like dataset summary: LLMs as mathematical competition contestants GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization Game-Time: Evaluating Temporal Dynamics in Spoken Language Models AI-Based Stroke Rehabilitation Domiciliary Assessment System with ST_GCN Attention Planning-Augmented Sampling with Early Guidance for High-Reward Discovery Do Bias Benchmarks Generalise? Evidence from Voice-based Evaluation of Gender Bias in SpeechLLMs AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science The Three Regimes of Offline-to-Online Reinforcement Learning DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning F-scheduler: illuminating the free-lunch design space for fast sampling of diffusion models How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models Fusing Multi- and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring with Self-Supervised and Hierarchical Deep Learning Simple Policy Gradients for Reasoning with Diffusion Language Models MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering PatternKV: Flattening KV Representation Expands Quantization Headroom HOI-R1: Exploring the Potential of Multimodal Large Language Models for Human-Object Interaction Detection iPEAR: Iterative Pyramid Estimation with Attention and Residuals for Deformable Medical Image Registration When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs Enhancing LLM Reasoning via Non-Human-Like Reasoning Path Preference Optimization Message Passing on the Edge: Towards Scalable and Expressive GNNs Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation Context-Selective State Space Models: Feedback is All You Need Model-agnostic Selective Labeling with Provable Statistical Guarantees LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models Are Large Language Models Sensitive to the Motives Behind Communication? Stream: Scaling up Mechanistic Interpretability to Long Context in LLMs via Sparse Attention Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations A Survey on Efficient Vision-Language-Action Models BOLT-GAN: Bayes-Error-Motivated Objective for Stable GAN Training How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison A Proof of Learning Rate Transfer under $\mu$P Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets TabRAG: Improving Tabular Document Question Answering for Retrieval Augmented Generation via Structured Representations Multi-period Learning for Financial Time Series Forecasting Introduction to Automated Negotiation Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification Physics-Based Benchmarking Metrics for Multimodal Synthetic Images EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI Your Latent Reasoning is Secretly Policy Improvement Operator Geometric-disentangelment Unlearning Decomposed Trust: Exploring Privacy, Adversarial Robustness, Fairness, and Ethics of Low-Rank LLMs MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks Learning the Boundary of Solvability: Aligning LLMs to Detect Unsolvable Problems Agentic Policy Optimization via Instruction-Policy Co-Evolution Measuring Agents in Production GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis Model-Free Assessment of Simulator Fidelity via Quantile Curves When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models When Large Language Models Do Not Work: Online Incivility Prediction through Graph Neural Networks MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering Robust MLLM Unlearning via Visual Knowledge Distillation Position: Universal Aesthetic Alignment Narrows Artistic Expression Diffusion Language Model Inference with Monte Carlo Tree Search PIS: A Generalized Physical Inversion Solver for Arbitrary Sparse Observations via Set Conditioned Flow Matching Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies Beyond Vision: Contextually Enriched Image Captioning with Multi-Modal Retrieval Performative Policy Gradient: Optimality in Performative Reinforcement Learning Flexible Multitask Learning with Factorized Diffusion Policy Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model Unifying Learning Dynamics and Generalization in Transformers Scaling Law EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs High-Dimensional Search, Low-Dimensional Solution: Decoupling Optimization from Representation A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering Probability-Aware Parking Selection Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems MHRC-Bench: A Multilingual Hardware Repository-Level Code Completion benchmark Clinical Data Goes MEDS? Let's OWL make sense of it UNIC: Learning Unified Multimodal Extrinsic Contact Estimation Decoding Workload and Agreement From EEG During Spoken Dialogue With Conversational AI FastSLM: Hierarchical Frame Q-Former for Effective Speech Modality Adaptation DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models A.X K1 Technical Report SimMerge: Learning to Select Merge Operators from Similarity Signals Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification Mixed Precision PointPillars for Efficient 3D Object Detection with TensorRT AI-generated data contamination erodes pathological variability and diagnostic reliability A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds ConceptCaps: a Distilled Concept Dataset for Interpretability in Music Models HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data Why Inference in Large Models Becomes Decomposable After Training DMV-AVP: Distributed Multi-Vehicle Autonomous Valet Parking Using Autoware DMAVA: Distributed Multi-Autonomous Vehicle Architecture Using Autoware Model-Centric Diagnostics: A Framework for Internal State Readouts A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs When Domain Pretraining Interferes with Instruction Alignment: An Empirical Study of Adapter Merging in Medical LLMs Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classification Language Family Matters: Evaluating LLM-Based ASR Across Linguistic Boundaries Toward Learning POMDPs Beyond Full-Rank Actions and State Observability FloydNet: A Learning Paradigm for Global Relational Reasoning A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction Membership Inference Attacks Against Fine-tuned Diffusion Language Models How AI Impacts Skill Formation Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification Music Plagiarism Detection: Problem Formulation and a Segment-based Solution HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing Shaping capabilities with token-level data filtering TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention Latent Adversarial Regularization for Offline Preference Optimization EUGens: Efficient, Unified, and General Dense Layers Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs Avoiding Premature Collapse: Adaptive Annealing for Entropy-Regularized Structural Inference To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-TrainingGithub Trending (Python)
karpathy/nanochat kovidgoyal/calibre lllyasviel/Fooocus VectifyAI/PageIndex EbookFoundation/free-programming-books microsoft/agent-lightning happycola233/tchMaterial-parser OpenBMB/ChatDev langchain-ai/open_deep_research davila7/claude-code-templates jingyaogong/minimind Zie619/n8n-workflows serengil/deepface yt-dlp/yt-dlp home-assistant/core microsoft/BitNet GreyDGL/PentestGPTGithub Trending (C)
fastfetch-cli/fastfetch UberGuidoZ/Flipper openwall/john merbanan/rtl_433 lvgl/lvgl zmkfirmware/zmk pbatard/rufus libsdl-org/SDL_mixer openwrt/openwrt libsdl-org/SDL micropython/micropython sandboxie-plus/Sandboxie raspberrypi/linux ARMmbed/mbed-os espressif/esp-idf darktable-org/darktable hashcat/hashcat ventoy/Ventoy vysheng/tg mpv-player/mpvNature
Ontogeny and transcriptional regulation of Thetis cells Author Correction: Increasingly negative tropical water–interannual CO2 growth rate coupling Embrace diverse PhD supervision styles — but enforce essential standards Calling all scientists: Support your Iranian colleagues A history of hocus pocus: witchcraft down the ages Who does academic consulting serve? Many people have no mental imagery. What’s going on in their brains? The ‘bible for psychiatry’ is getting a rewrite: your guide to the next DSM The global plastics treaty can be saved — here’s how to break the deadlock More than one-third of cancer cases are preventable, massive study finds Now is not the time to defund human fetal tissue research I know science can’t fix the world — here’s why I do it anyway A broadly protective antibody targeting gammaherpesvirus gB Long-lived remote ion-ion entanglement for scalable quantum repeaters Author Correction: Albumin orchestrates a natural host defence mechanism against mucormycosis Daily briefing: Scientists delve into the smells of history Are health influencers making us sick? Does AI already have human-level intelligence? The evidence is clear How learning handwriting trains the brain: the science behind the cursive wars Don’t talk science, play science: translate your data into music to improve its reach China’s relationship with foreign scientific powers is changing rapidly See the Sun expand and contract like a pufferfish — January’s best science images OpenAI-backed firm to use ultrasound to read minds. Does the science stand up? Is this journal legitimate? This tool can help you decide Publisher Correction: A domed pachycephalosaur from the early Cretaceous of Mongolia Publisher Correction: Nanotyrannus and Tyrannosaurus coexisted at the close of the Cretaceous Largest galaxy survey yet confirms that the Universe is not clumpy enough Briefing Chat: What Brazilian centenarians could reveal about the science of ageing Light-powered bacteria become living chemical factories This robot hand detaches and walks by itself Can academia handle my religious faith? How DeepMind’s genome AI could help solve rare-disease mysteries China is betting on ‘optical’ computer chips — will they power AI? Daily briefing: Why we enjoy things more when they’re hard to get Author Correction: Hunter-gatherer sea voyages extended to remotest Mediterranean islands Longevity is in the genes: half of lifespan is heritable Genetically engineered ‘stinkweed’ comes up roses for making seed oil Developmental convergence and divergence in human stem cell models of autism Still conscious? Brain marker signals when anaesthesia takes hold ArXiv says submissions must be in English: are AI translators up for the job? This AI has chemical expertise — and helps synthesize 35 new compounds Daily briefing: Brain–immune crosstalk worsens the damage of heart attacks 48 hours without lungs: artificial organ kept man alive until transplant Five ways to make the academic workplace happier and healthier this year Critical social-media posts linked to retractions of scientific papers Preserving the respiratory system How your brain chemistry rewards hard work How much exercise do you really need? Projected impacts of climate change on malaria in Africa Constraints on axion dark matter by distributed intercity quantum sensors Prethermalization by random multipolar driving on a 78-qubit processor Multimodal learning with next-token prediction for large multimodal models Radiation-tolerant atomic-layer-scale RF system for spaceborne communication Accurate determination of the 3D atomic structure of amorphous materials Intestinal macrophages modulate synucleinopathy along the gut–brain axis Cholinergic modulation of dopamine release drives effortful behaviour Optical control of integer and fractional Chern insulators Environmentally driven immune imprinting protects against allergy Population-scale sequencing resolves determinants of persistent EBV DNA Pesticide residues alter taxonomic and functional biodiversity in soils Lasing of a cavity-based X-ray source Bandwidth-tuned Mott transition and superconductivity in moiré WSe2 Human and bacterial genetic variation shape oral microbiomes and health Frequency reproducibility of solid-state thorium-229 nuclear clocks PAF15–PCNA exhaustion governs the strand-specific control of DNA replication A Cambrian soft-bodied biota after the first Phanerozoic mass extinction An X-ray-emitting protocluster at z ≈ 5.7 reveals rapid structure growth Low-power integrated optical amplification through second-harmonic resonance A prophage-encoded abortive infection protein preserves host and prophage spread Robust cytoplasmic partitioning by solving a cytoskeletal instability Advancing regulatory variant effect prediction with AlphaGenome A cavity-array microscope for parallel single-atom interfacing A cross-population compendium of gene–environment interactions Vacuum ultraviolet second-harmonic generation in NH4B4O6F crystal Psychedelics elicit their effects by 5-HT2A receptor-mediated Gi signallingCNN
Some on-air claims about Dominion Voting Systems were false, Fox News acknowledges in statement after deal is announced Dominion still has pending lawsuits against election deniers such as Rudy Giuliani and Sidney Powell Here are the 20 specific Fox broadcasts and tweets Dominion says were defamatory Judge in Fox News-Dominion defamation trial: 'The parties have resolved their case' 'Difficult to say with a straight face': Tapper reacts to Fox News' statement on settlement Millions in the US could face massive consequences unless McCarthy can navigate out of a debt trap he set for Biden White homeowner accused of shooting a Black teen who rang his doorbell turns himself in to face criminal charges Newly released video shows scene of Jeremy Renner's snowplow accident Jake Gyllenhaal and Jamie Lee Curtis spent the Covid-19 lockdown together Toddler crawls through White House fence, prompts Secret Service response Jamie Foxx remains hospitalized nearly a week after 'medical complication' A 13-year-old dies after participating in a Benadryl TikTok 'challenge' See pizza delivery guy take out suspect fleeing police Netflix is winding down its DVD business after 25 years FTC chair Lina Khan warns AI could 'turbocharge' fraud and scams Eating too much of these foods is driving the rise in type 2 diabetes, study says ADHD medication abuse in schools is a 'wake-up call' Apple CEO was presented with an original Macintosh. See his reaction Democrats bash Justice Clarence Thomas but their plan to investigate ethics allegations is unclear Russia is 'going backwards' in equipment and deploying post WWII-era tanks, according to Western officials Two Russians claiming to be former Wagner commanders admit killing children and civilians in Ukraine 'My stomach is hurting from laughing': Hear panelist's reaction to DeSantis' threat to Disney GOP prepared to block vote to replace Feinstein on Senate Judiciary Oklahoma governor calls on officials to resign over recording of racist and threatening remarks McCarthy slams Biden in handling of US debt US warns Russia not to touch American nuclear technology at Ukrainian nuclear plant Repeated gunshots fired on live TV as ex-lawmaker shot by assassins FDA clears the way for additional bivalent boosters for certain vulnerable individuals Maine authorities detained a person of interest after 4 people were found dead in a home and 3 others shot while driving Southwest says flights resumed after delays caused by 'tech issues' Damar Hamlin cleared to resume football activities after January cardiac arrest Pilot makes history after landing on top of a 56-story hotel Top US Navy admiral defends non-binary sailor amid some Republican criticism Fulton County DA says fake Trump electors are incriminating one another and wants lawyer disqualified High speed trains are racing across the world. But not in America Podcast: One country musician is calling for other artists to oppose assault rifles Here's what you need to know if you haven't filed your return yet — and even if you have Undocumented immigrants are paying their taxes today, too Opinion: Why millionaires like us want to pay more in taxes 'World's longest' purpose-built cycling tunnel opens in Norway Artist rejects photo prize after AI-generated image wins award These ships disappeared in Lake Superior a century ago. Watch as they're found again Erotic images of seniors show sex and intimacy in new light China's economy is off to a solid start, rising 4.5% in Q1 2023 Even when wives make as much as husbands, they still do more at home McDonald's is upgrading its burgers Google-parent stock drops on fears it could lose search market share to AI-powered rivals Bidets save you money and reduce waste — we tested the best options out there 50+ products to make your life easier and our planet cleaner Mother's Day is around the corner. Here are 50+ thoughtful gifts she'll love A head-to-toe guide of how men should dress this spring, and where they should shop 42 of the most useful travel products you can buy on Amazon The 7 best high-yield savings accounts of April 2023 Taxes are due tomorrow. Here's how to file for an extension Composting is an easy way to reduce food waste. Here's how to do it We stopped using aluminum foil for cooking and you should too. Here's what to use instead The beloved Dyson Supersonic hair dryer is at its lowest price ever Everything you need to know about Way Day 2023, Wayfair's biggest sale of the year The 10 best Amazon deals to shop this week Mifepristone saved my life The 2024 presidential alternative many voters will want Why isn't the House Judiciary Committee looking into Thomas? Top secrets come spilling out How did Sudan go from casting off despotic rule to this? Michelle Yeoh set to return in new 'Star Trek' movie Recap: 'Succession' finds dark humor in the aftershocks 'Yellowjackets' leans hard into '90s music nostalgia, and we're here for it Jeremy Renner revisits 'the amazing group of people' who helped him recover from his accident Review: 'Barry' takes a whack at its farewell seasonNPR News
China bans hidden car door handles, which can trap people after crashes Disney names Josh D'Amaro as its new CEO Syria, once home to a large Jewish community, takes steps to return property to Jews NASA delays the launch of Artemis II lunar mission by at least a month The U.K. investigates its ex-ambassador to the U.S. over alleged leaks to Epstein What we know about Savannah Guthrie's missing mother Back seats aren't as safe as they should be. A crash test is trying to help House votes to end partial government shutdown, setting up contentious talks on ICE Despite a 'ruptured' knee ligament, Lindsey Vonn says she will compete in the Olympics PepsiCo will cut prices on Lay's, Cheetos by as much as 15%The Atlantic
Trump’s New Threats to American Elections Which Washington Landmark Will Donald Trump Destroy Next? Today’s Atlantic Trivia: What Artist Got His Technique From the Navajo? Trump Is Doubling Down on All the Wrong Things This Is What Putin Thinks of Trump’s Peace Talks The Logical End Point of ‘America First’ Foreign Aid It’s So Cold in Florida Iguanas Are Falling Out of Trees Trump’s Crypto Defenses Aren’t Reassuring Donald Trump Has Built a Clicktatorship The Mystery of Henry Fordham Seven Books to Read When You Have No Time to Read The Problem With Using AI in Your Personal Life Countdown to an Arms Race The Longevity Influencer Who Went Into ‘Withdrawal’ Without Jeffrey Epstein Trump Made a Bad Bet on the Kennedy Center The Real Reason ICE Agents Wear Masks A Social-Media Ban Really Could Do a Lot of Good The Secrets of Indigenous Art A Survivor Contestant’s Empathetic Reality-TV Novel Stop Meeting Students Where They Are The Father-Daughter Divide Pete Hegseth Delights in Violence A Hidden Lesson of the Minnesota Welfare Scandal Do You Feel the AGI Yet? The Big Message of the 2026 GrammysVox
A victory for Haitian immigrants, briefly explained Is a new US-Russia arms race about to begin? Three issues that could sink Trump The quiet reason why Trump is losing Gen Z Moltbook, the AI social network freaking out Silicon Valley, explained 3 million new Epstein files, briefly explained Republicans are normalizing the one reform they should fear most Why is Trump so obsessed with the Kennedy Center? Other first ladies had cash grabs. Melania tops them all. Minneapolis is showing a new kind of anti-Trump resistanceAl Jazeera
Collision between Greek coastguard vessel, migrant boat kills at least 14 US House passes $1.2 trillion spending package to end government shutdown Who was Saif al-Islam Gaddafi, the man once seen as Libya’s next leader? Sudan’s military breaks through years-long RSF blockade in Kadugli Saif al-Islam Gaddafi, son of Libyan former leader, killed ‘Game is over’: Iran’s ex-leaders, hardliners clash after protest killings Son of Norway’s crown princess pleads not guilty in rape case UN chief urges Gaza aid as Israel blocks most medical evacuees at Rafah Walmart hits trillion dollar market cap for the first time Red Cross worker urges more aid access, recounts time in Gaza Are we in a literacy crisis? Saif al-Islam Gaddafi, son of former leader, killed in Libya Will the US force regime change in Cuba? Will Hezbollah continue to avoid responding to Israel’s attacks on Lebanon? What would be the impact of a US attack on Iran? US military says it shot down an Iranian drone in Arabian Sea UK’s Mandelson to resign from House of Lords over Epstein ties Global conflicts pushing humanitarian law to breaking point, report warns Will Iran and Israel go to war? ‘Extensive’ fire breaks out at Tehran shopping centre Israel-Palestine head of Human Rights Watch quits over ‘blocked’ report Celebrations erupt during Al Jazeera live report from northern Syria Epstein audio with former Israeli PM sheds new light on relationship Amnesty demands Israel drop death penalty bills ‘entrenching apartheid’ Italy ready to impress in T20 World Cup debut against ScotlandArs Technica
Godlike Titan threatens humanity in Monarch: Legacy of Monsters S2 trailer Nvidia's $100 billion OpenAI deal has seemingly vanished Newborn dies after mother drinks raw milk during pregnancy X office raided in France's Grok probe; Elon Musk summoned for questioning Nintendo Switch is the second-bestselling game console ever, behind only the PS2 Google court filings suggest ChromeOS has an expiration date Xcode 26.3 adds support for Claude, Codex, and other agentic tools via MCP Wing Commander III: "Isn't that the guy from Star Wars?" Upset at reports that he'd given up, Trump now wants $1B from Harvard China bans all retractable car door handles, starting next year Senior staff departing OpenAI as firm prioritizes ChatGPT development The rise of Moltbook suggests viral AI prompts may be the next big security threat Unable to tame hydrogen leaks, NASA delays launch of Artemis II until March Looking back at Catacomb 3D, the game that led to Wolfenstein 3D Streaming service Crunchyroll raises prices weeks after killing its free tier SpaceX acquires xAI, plans to launch a massive satellite constellation to power it Russian drones use Starlink, but Ukraine has plan to block their Internet access Court orders restart of all US offshore wind construction Notepad++ users take note: It's time to check if you're hacked A century of hair samples proves leaded gas ban workedSlashdot
Google Home Finally Adds Support For Buttons Ultra-Processed Foods Should Be Treated More Like Cigarettes Than Food, Study Says NASA Delays Artemis II To March Google Plots Big Expansion in India as US Restricts Visas 'Vibe Coding Kills Open Source' YouTube Kills Background Playback on Third-Party Mobile Browsers PayPal's CEO Change Blindsided HP's Board Adobe Is Killing A Popular Animation And Game Development Program Fintech CEO and Forbes 30 Under 30 Alum Charged for Alleged Fraud The Switch is Now Nintendo's Best-Selling Console of All Time Hidden Car Door Handles Are Officially Being Banned In China SpaceX Acquires xAI in $1.25 Trillion All-Stock Deal A Century of Hair Samples Proves Leaded Gas Ban Worked Leica Camera's Owners Weigh $1.2 Billion Sale of Controlling Stake Feds Skipping Infosec Industry's Biggest Conference This YearGizmodo
We’re Nowhere Near Ready to Make Babies in Space, Experts Warn The Scripts for David Lynch’s Never-Made Netflix Pitch May Soon Be Published Brandon Sanderson Reveals His Journey to Make a ‘Cosmere’ Adaptation Spain to Ban Under-16s on Social Media as the World Goes All in on Age Verification Meta’s Quest 3 Has the First VR Keyboard That Doesn’t Totally Suck The 3-Body Problem Just Got an Upgrade—and You Can Thank Einstein All the Messy Drama Between OpenAI and Nvidia, Explained Melinda French Gates Appears to Confirm Divorce With Bill Was Related to Epstein The Best Gadgets for Throwing a Kick-Ass Super Bowl LX Party Universal Successfully Bullied Into Letting Olympian Use ‘Minions’ Music Sam Altman Expects to Get What He Wants The Big ChromeOS and Android Merger May Be Google’s Last Walled Garden ‘Starfleet Academy’ Sneakily Brought Some More ‘Star Trek Online’ Ships to TV Check Out 10 Weird and Wonderful Finalists for the ‘Pulitzer of the New Instrument World’ While the World Waits for ‘Doctor Who’ to Return, the BBC Is Selling Off Some Major Props CDC Refuses to Take Blame for Measles Spiraling out of Control It’s Monster on Monster on Monster in the New ‘Monarch’ Season 2 Trailer Is Lead Exposure Really Declining? A Century of Hair Holds the Answer Jupiter’s New Measurements: Flatter, Squashed, Still the Biggest Boy The Director of ‘Wall-E’ Has a New Movie That Looks Like a Mini ‘Cloud Atlas’Smithsonian Magazine
Medieval Monks Wrote Over a Copy of an Ancient Star Catalog. Now, a Particle Accelerator is Revealing the Long-Lost Original Text Historians Thought This Rare Renaissance Portrait by One of the First Famous Female Artists Was Lost to History—Until It Surfaced in North Carolina From Giant Art to Amazing Specimens, See These 20 New and Revitalized Smithsonian Shows in 2026 Archaeologists Unearth a Reusable School Slate Still Covered in the Scribbles of Victorian Children An Asian Elephant Was Born at the Smithsonian’s National Zoo for the First Time in Almost 25 Years. Now, You Can Help Pick Her Name 'Golden' From 'KPop Demon Hunters' Just Won K-Pop's Very First Grammy Some Polar Bears Have Been Getting Chunkier—Despite Losing Their Main Hunting Grounds to Climate Change Fervent Fans of 'Moby-Dick' Flock to This Massachusetts City to Read the Book Cover to Cover Read Love Letters From Royals and Romantics Across 500 Years of British History Snow Drought Hits the Western United States, Worrying Experts About the Region's Water SupplyInfoQ
OpenAI Begins Article Series on Codex CLI Internals Etleap Launches Iceberg Pipeline Platform to Simplify Enterprise Adoption of Apache Iceberg Article: Working with Code Assistants: The Skeleton Architecture Dev Proxy v2.1 Introduces Configuration Hot Reload and Stdio Traffic Proxying MongoDB Introduces Embedding and Reranking API on Atlas Presentation: Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations Airbnb Expands Global Checkout with “Pay as a Local,” Scaling to 220 Markets in 14 Months MyTerms: A New IEEE Standard Enabling Online Privacy and Aiming to Replace Cookies Daggr Introduced as an Open-Source Python Library for Inspectable AI Workflows Article: Why Most Machine Learning Projects Fail to Reach Production Podcast: Developers Can Improve the ESG Aspects of Software By Tackling Early Ethical Debt Open Responses Specification Enables Unified Agentic LLM Workflows Cloudflare's Matrix Homeserver Demo Sparks Debate over AI-Generated Code Claims Java News Roundup: Jakarta EE 12, Spring Shell, Open Liberty, Quarkus, Tomcat, JHipster, Gradle Chainguard Finds 98% of Container CVEs Lurking outside the Top 20 ImagesDynomight
Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourse Moral puzzles: Man vs. machine Please take my weird moral puzzles quiz Futarchy’s fundamental flaw Optimizing tea: An N=4 experiment My advice on (internet) writing, for what it’s worth DumPy: NumPy except it’s OK if you’re dum The Heat Mirage: My least-favorite internet maneuver I don’t like NumPyMarginal Revolution
Effective tax rates for billionaires Tuesday assorted links What should I ask Paul Gillingham? Does Peer-Reviewed Research Help Predict Stock Returns? Mainstream research views on kids, teens, and screens My Free Press column on Moltbook Monday assorted links Spinoza the Bayesian fine-tunes his own training Bill Dudley on scarce reserves Those new service sector jobs? (from my email, just now) Sunday assorted links What should I ask Joel Mokyr? *Paul Celan: A Life*, by Anna Arno The Australian government is overreaching already Saturday assorted linksNot Boring
Raising a Special Little AI Weekly Dose of Optimism #178 Weekly Dose of Optimism #177 The Venezuela Opportunity 16 Lessons on Selling (and Life) from My 5-Year-Old Weekly Dose of Optimism #176 Many Small Steps for Robots, One Giant Leap for Mankind Weekly Dose of Optimism #175 a16z: The Power Brokers welcome to not boring world My 5 Favorite Not Boring Essays of 2025 Weekly Dose of Optimism #174 Weekly Dose of Optimism #173 Hardware is a Fruit Weekly Dose of Optimism #172 Cable Caballero Weekly Dose of Optimism #171 Weekly Dose of Optimism #170 The Company as a Machine for Doing Stuff Weekly Dose of Optimism #169Coding Horror
The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up? There is no longer any such thing as Computer Security To Serve Man, with SoftwareNASA Breaking News
Full Moon over Artemis II NASA Space to Soil Challenge Cracking Antarctic Sea Ice NASA Astronaut to Answer Questions from Students in Pennsylvania NASA’s Orion Spacecraft at Launch Pad NASA to Discuss Early Results of Artemis II Wet Dress Rehearsal Widely Attended Gatherings (WAGs) Determinations Seasons Change in Southwest Virginia NASA Selects Axiom Space for Fifth Private Mission to Space Station NASA Aims to Advance Hypersonic Flight Testing with New AwardsQuanta Magazine
How Modern and Antique Technologies Reveal a Dynamic Cosmos Once Thought To Support Neurons, Astrocytes Turn Out To Be in Charge Networks Hold the Key to a Decades-Old Problem About Waves Is Particle Physics Dead, Dying, or Just Hard? Monster Neutrino Could Be a Messenger of Ancient Black HolesScience Daily
New catalyst turns carbon dioxide into clean fuel source Scientists just mapped the hidden structure holding the Universe together This brain discovery is forcing scientists to rethink how memory works Even remote Pacific fish are full of microplastics Robots descend into lava tubes to prepare for future Moon bases Medieval miracles: Dragon-slaying saints once healed the land Scientists Warn: This “miracle cure” works only by damaging human cells Scientists discover protein that could heal leaky gut and ease depression Hundreds of new species found in a hidden world beneath the Pacific A record breaking gravitational wave is helping test Einstein’s theory of general relativity Four astronauts enter quarantine as NASA’s SpaceX Crew-12 launch nears One of Earth’s most abundant lifeforms has a fatal flaw Scientists are hunting for a forbidden antimatter transformation A tiny light trap could unlock million qubit quantum computers A silent brain disease can quadruple dementia risk Baby dinosaurs were the backbone of the Jurassic food chain Alzheimer’s scrambles memories while the brain rests Middle age is becoming a breaking point in the U.S. This AI app can tell which dinosaur made a footprint Scientists discover how to turn gut bacteria into anti-aging factories “Existential risk” – Why scientists are racing to define consciousness 750-year-old Indian poems reveal a landscape scientists got wrong Scientists discover hidden geometry that bends electrons like gravity Scientists finally explain statin muscle pain NASA’s Perseverance rover completes the first AI-planned drive on Mars Jupiter’s clouds are hiding something big Puffy baby planets reveal a missing stage of planet formation A hidden bat virus is infecting humans Electric fields flip the rules of water chemistry Weak magnetism causes big changes in a strange state of matter A quiet change in everyday foods could save thousands of lives Ancient tools in China are forcing scientists to rethink early humans How gene loss and monogamy built termite mega societies A breakthrough that could make ships nearly unsinkable Late bedtimes are linked to higher heart disease risk The early turning point when men’s heart risk accelerates New scan spots heart disease years before symptoms Gray wolves are hunting sea otters and no one knows how Dermatologists say collagen supplements aren’t the skin fix people expect A diabetes drug shows surprising promise against heart disease Breakthrough sepsis drug shows promise in human trial Scientists find hidden pathways pancreatic cancer uses to spread A fish that ages in months reveals how kidneys grow old A simple blood test could spot Parkinson’s years before symptoms Ancient oceans stayed oxygen rich despite extreme warming Scientists found a way to cool quantum computers using noise Helping with grandkids may slow cognitive decline Long-term alcohol use linked to a sharp rise in rectal cancer A breakthrough that turns exhaust CO2 into useful materials Study raises red flags over long-term effectiveness of popular weight loss drugs like Ozempic Dark stars could solve three major mysteries of the early universe Brain cancer may begin years before doctors can see it A 20-year-old cancer vaccine may hold the key to long-term survival Low-Earth orbit is just 2.8 days from disaster Scientists use AI to crack the code of nature’s most complex patterns 1,000x faster A Trojan horse cancer therapy shows stunning results Tiny mammals are sending warning signs scientists can finally read The hidden reason cancer immunotherapy often fails Why long COVID brain fog seems so much worse in the U.S. This spider’s “pearl necklace” was living parasitesSpaceflight Now
NASA waves off February launch for Artemis II moon mission; now targeting early March SpaceX experiences Falcon 9 upper stage anomaly following Starlink deployment Countdown underway for critical moon rocket fueling test Monday Cold weather delays earliest Artemis 2 launch opportunity SpaceX launches overnight Starlink flight as it unveils new ‘Stargaze’ space situational awareness system SpaceX launches 11,000th Starlink satellite to date on Thursday SpaceX launches GPS 3 satellite following switch from ULA Vulcan rocket SpaceX launches 25 Starlink satellites to polar, low Earth orbit Eastern Range ready for same day fueling of Space Launch System, Vulcan rockets SpaceX launches first West Coast Starlink mission of 2026Space Daily
Musk merges xAI into SpaceX in bid to build space data centers NASA backs studies to boost hypersonic flight testing Flat dark matter sheet solves local galaxy motion puzzle NTU Singapore boosts agile space access with trio of new projects Terran Orbital to supply Nebula satellite platform for Mitsubishi Electric LEO mission Crew 12 set for Dragon launch to Station in February Engineered microbes use light to build new molecules Laser method proposed to extend muon lifetime for science applications NASAs IMAP Begins Primary Science Mission Smartphone kit offers low cost on site radiation dose checks AI framework links gravitational waves and radio afterglows Gravitational wave triad puts relativity under intense scrutiny Dragon spacecraft gears up for crew 12 arrival and station science work Airspan 5G platform selected for Space Compass high altitude maritime network MDA Space and Hanwha target Korean K-LEO defense networkSpace News
Flight heritage? It isn’t what you think SpaceX pauses Falcon 9 launches after upper stage anomaly Artemis 2 slips to March SpaceX acquires xAI in bid to develop orbital data centers At Blue Origin, Hegseth escalates criticism of legacy defense procurement UK Space Agency CEO stepping down as agency folds into government House NASA bill seeks details on lunar lander and spacesuit development Amazon buys 10 more Falcon 9 launches CesiumAstro to scale operations with $470 million in equity and debt financing Starlink and the unravelling of digital sovereignty Transcelestial to provide satellite laser communication terminals to Gilmour Space Saudi Space Agency Announces Winners of Global ‘DebriSolver’ Competition at Space Debris Conference With attention on orbital data centers, the focus turns to economics Varda’s W-5 mission lands in Australia SpaceX files plans for million-satellite orbital data center constellation China launches AlSat-3B for Algeria, further launches delayed ahead of key human spaceflight test Axiom wins fifth private astronaut mission to space station L3Harris reaffirms commitment to space business amid missile sector expansion Blue Origin halts New Shepard flights Weather delays Artemis 2 wet dress rehearsal A fireside chat with Space Force Gen. Shawn Bratton RBC Signals partners with in-orbit relay developer Apolink Making the unprecedented EU Space Act effective for all Rocket Lab launches South Korean satelliteMartin Fowler
Bliki: Excessive Bold Assessing internal quality while coding with an agent Fragments: January 22 Conversation: LLMs and the what/how loop Stop Picking Sides: Manage the Tension Between Adaptation and Optimization My favorite musical discoveries of 2025 Fragments: January 8 Fragments: December 16 Writing Fragments Fragments Dec 11 Fragments Dec 4 Fragments Nov 19 My Foreword to "Frictionless" The Learning Loop and LLMs Fragments Nov 3 Agentic AI and Security Fragments and Links Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl Anchoring AI to a reference application To vibe or not to vibe Some thoughts on LLMs and Software Development From Black Box to Blueprint Research, Review, Rebuild: Intelligent Modernisation with MCP and Strategic Prompting Building your own CLI Coding Agent with Pydantic-AI Chatting with Unmesh about building language with LLMs Bliki: Expansion Joints Team OKRs in Action Impact Intelligence, addressing common objections Quick but worthwhile links Actions to improve impact intelligenceEmbedded Artistry
Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New Device The Simple Fixes on the Quest for Improved Performance Schrödinger’s Meeting Building a Simplified CLI Using Invoke (for Monorepo Management) Replacing find Shell Commands with Python Q&A: What Pieces of the OTA Update Pipeline Should You Front Load? Q&A: How Do You Manage Updates that Introduce Incompatible Changes? Q&A: Where Should Firmware Update Capabilities Live?Attack Magazine
Liquid Hoover Bass Novation Launch Control XL 3 Native Instruments Enters Preliminary Insolvency Proceedings Best of NAMM 2026 for Electronic Music Producers Akai Launches New Flagship MPC – The MPC XL Manifest Audio Unleash Free Synth: Tactum Catch Kobosil, Shlømo, Klofama & more At Sound Waves Winter Edition Next Month The Future Starts Here: Visiting Roland’s Radical New Headquarters Manifest Audio Unleash Major Update: New Devices, V2 Overhauls & Future-Forward Bundle The Best Gear of the YearDJ TechTools
The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller Akai Launches MPC Live III Standalone With 8-Core Processor, Clip Matrix, Stems, and 3D Pads Ableton launches Live 12 Suite rent-to-own plan – and it’s not a subscription Meet the TR-1000: Roland’s new analog/digital drum machine with built-in sampling Spotify (finally) slides into Rekordbox, Serato, and Algoriddim djay (again) – for better or worse? The CDJ-3000X is here: an iterative upgrade of the media player for $3,000 / £2,399 Review: Focusrite Scarlett 18i20 4th Gen