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Supreme Court Clears Way for California Voting Map - The New York Times Trump’s border czar is pulling 700 immigration officers out of Minnesota immediately - AP News Trump’s Call to ‘Nationalize’ Elections Adds to State Officials’ Alarm - The New York Times 61% Of Voters Think The Trump Administration Has Not Given An Honest Account Of The Fatal Shooting Of Alex Pretti, Quinnipiac University National Poll Finds; 58% Of Voters Think DHS Secretary Kristi Noem Should Be Removed - Quinnipiac University Poll Fears of new arms race as US-Russia nuclear weapons treaty due to expire - BBC Israel strikes across Gaza, killing 24, and says militants attacked its soldiers - AP News With latest Minnesota fraud case looming, the lead prosecutors have quit - CBS News What the Crackdown Has Done to Minneapolis Children - The New York Times Democrats say ‘dramatic changes’ needed for immigration enforcement as DHS funding negotiations continue – live - The Guardian U.S.-Iran nuclear talks back on after Arab leaders lobby White House - Axios Ukrainians Defy Russia’s Attempts to Freeze Them Into Submission - Bloomberg.com Mandelson offered to help Epstein get Russian visa, documents suggest - BBC Trump-led abuses amid ‘democratic recession’ put human rights in peril, HRW report says - The Guardian South Sudan army seizes rebel stronghold in Jonglei - IOL Washington Post Cuts More Than 300 Jobs - The New York Times Moltbook is the newest social media platform — but it’s just for AI bots - NPR E.l.f. Beauty posts earnings beat, raises full-year guidance - CNBC Corporate DEI index sees 65% drop in participation from Fortune 500 companies - CNBC Google announces Pixel 10a with completely flat camera, pre-order Feb 18 - 9to5Google Spotify launches offline lyrics, translations, and lyric previews - theverge.com FBI Couldn’t Get into WaPo Reporter’s iPhone Because It Had Lockdown Mode Enabled - 404 Media January 2026 Google Play system update just turned into November 2025? You're not alone - Android Authority How Miss Piggy Went From Minor Muppet to TV’s Top Hog - The New York Times ‘The Muppet Show’ refuses to modernize in its triumphant revival - The Washington Post Trump's Kennedy Center closure shocks the National Symphony Orchestra - NBC News This year’s Super Bowl commercials feature AI, weight-loss drugs and celebrities galore - AP News Kyle Larson speeds to pole for 2026 Cook Out Clash at Bowman Gray - NASCAR.com UFC's Jones needs hip replaced, still wants fight at White House - ESPN First Winter Olympics Event Was Halted Within Moments - Newser Super Bowl Notebook: Updates on Maye's Shoulder, Spillane's Ankle, Kuhr Scouts Seahawks RB Kenneth Walker and More as Super Bowl Week Kicks Off - New England Patriots History Awaits on 3I/ATLAS - Avi Loeb – Medium Synthesizing scientific literature with retrieval-augmented language models - Nature Scientists just mapped the hidden structure holding the Universe together - ScienceDaily Regulatory grammar in human promoters uncovered by MPRA-based deep learning - Nature GLP-1 obesity drugs can complicate life for people with disordered eating - NPR Opinion | RFK Jr.’s attacks on vaccines just hit a wall of pediatricians - The Washington Post Flu Season Isn’t Over Yet. Here’s What to Know Now. - The New York Times Atlas-guided discovery of transcription factors for T cell programming - NatureBBC News
MPs back plan to release Mandelson files after Labour anger forces climbdown Email appears to confirm Andrew and Virginia Giuffre photo is real Trump touts 'softer touch' on immigration as federal force is reduced in Minnesota Fearing Russia will seize her town, war widow moves husband's grave to Kyiv Murder arrest after student stabbed near De Montfort University campus Saturday Night Live reveals cast for new UK version What's happening and who to look out for as the Winter Olympics begin Tesco apologises after placing Welsh language signs in Cornish branch Ban on asylum seekers using taxis for medical appointments comes into force Palestine Action protesters cleared of burglary but may face retrial on some charges Man sentenced to life in prison for 2024 attempt on Trump's life Snooker's 'Mr Perfection' - John Virgo brought old-school charm to primetime TV 'I never left your side': Emails reveal more about Mandelson's Epstein friendship Mandelson offered to help Epstein get Russian visa, documents suggest Henry Zeffman: Dark mood among Labour MPs as PM tries to contain Mandelson scandal Trump says America should move on from Epstein - it may not be that easy Why did Andrew leave Windsor's Royal Lodge in such a hurry? 'I've never hit anything so hard': How one man fought off a shark in the Caribbean A global craze for Korean culture is making its humblest snacks unaffordable Inside Man City's rebuild and plan for life without Guardiola How plans for Trump International hotel in Belgrade unravelled The Muppet Show revival brings nostalgia and naughtiness, critics say Church fresco resembling Italian PM has face scrubbed out Summer camp sex offender admits drugging wife Nintendo Switch becomes gaming giant's best-selling console in history Mahmood defends immigration reforms amid Labour opposition Severe rail disruption continues after derailment in south-east London BBC News app Epstein Files: Police Launch Investigation Into Mandelson Children in Care: How to Fix the Fostering Crisis 'Pure logic' Guehi should play in final - Guardiola seeks rule change Mouat and Dodds get Team GB off to winning start Is Spurs' Moore the answer to Rangers' open-play issues? More questions than answers as Newcastle yet to catch fire Dodds stars as GB curlers start Winter Olympics with win A 'special' snooker player who became a TV star - John Virgo obituary Raducanu battles back from 5-0 down to beat JuvanFinancial Times (World)
US tech stocks hit by fresh wave of selling as Qualcomm and AMD tumble Google set to double AI spending to $185bn after strong earnings Iran should prepare for ‘meaningful’ negotiations with US, Rubio says Trump’s border tsar announces withdrawal of 700 federal agents from Minneapolis Starmer engulfed in leadership speculation as he backtracks over Mandelson papers White House seeks critical minerals trade zone to curb China’s dominance Epstein advised former prince’s team on proposed deal with Cantor Fitzgerald Orbán orders courts to drop lawsuits against his government First Brands founder Patrick James pleads not guilty in company’s collapse Top Senate Republican says Fed’s Powell has not ‘committed a crime’ Six Palestine Action activists cleared of aggravated burglary Farage calls for EU to probe Mandelson’s time in Brussels Kirkland lawyer sought use of Epstein helicopter after securing plea Britain’s inequitable student loan system Hong Kong’s CK Hutchison takes Panama to arbitration over canal ports ruling UK delays worker protections against ‘fire and rehire’ practices Trump and Xi discuss Ukraine and trade ahead of US state visit to Beijing South Africa’s Democratic Alliance leader John Steenhuisen steps down Extreme views on the next US jobs report Washington Post cuts about a third of staff to tackle ‘financial challenges’ Ron DeSantis lashes out at ‘harmful’ AI in break with Trump’s White House British companies set to gain access to €90bn EU loan for Ukraine How the Bank of England can improve its decision-making Pressure grows on Starmer’s chief of staff over Mandelson ambassador appointment ‘We made a lot of money working together’: Epstein’s in-house trader revealedFinancial Times (UK)
Rushing Brexit reset deal risks costing British farmers, Starmer told Starmer engulfed in leadership speculation as he backtracks over Mandelson papers Epstein advised former prince’s team on proposed deal with Cantor Fitzgerald Six Palestine Action activists cleared of aggravated burglary Farage calls for EU to probe Mandelson’s time in Brussels Britain’s inequitable student loan system UK delays worker protections against ‘fire and rehire’ practices British companies set to gain access to €90bn EU loan for Ukraine How the Bank of England can improve its decision-making Pressure grows on Starmer’s chief of staff over Mandelson ambassador appointment Reform councillor steps down as head of Kent’s cost-cutting drive Are UK consumers about to rediscover their mojo? China’s Chery to add fourth brand in UK expansion push Britain can’t ignore Europe and China at the same time How central should religious buildings be to new town planning? Carlsberg sales volumes hit after losing San Miguel UK licence How to get England building more homes, not ‘bat tunnels’ Who killed the British flat? Number of late-night pharmacies in England plummets 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 divestedThe 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 France’s Raid on X Escalates Trans-Atlantic Showdown Over Social Media Moltbook Mania Explained 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%The Guardian
Gunmen kill more than 160 people in attacks on two west Nigeria villages Ugandan opposition leader still in hiding as feud with president’s son escalates Death of Nigerian singer after snakebite highlights crisis of ‘preventable’ fatalities 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 The people betting on catastrophic world events – podcast 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 Green energy sector drove more than 90% of China’s investment growth last year, analysis finds Harry Potter’s Draco Malfoy becomes mascot for year of the horse in China 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 Australia politics live: Littleproud dismisses Hanson ‘hypothetical’ that One Nation could form coalition with Liberals and Nationals Bunnings given green light to use facial recognition tech on customers to combat crime US congressional report explores option of not delivering any Aukus nuclear submarines to Australia ADF veterans warn selloff of 60 historic defence properties will take a decade and cost billions Condemnation of Elon Musk’s AI chatbot reached ‘tipping point’ after French raid, Australia’s eSafety chief says Ukraine and Russia hold ‘productive’ first day of US-led peace talks in Abu Dhabi EU deal on Ukraine loan could boost UK if it agrees to help pay costs Son of Norway’s crown princess ‘does not remember’ taking videos of alleged sexual assault Angel that looked like Giorgia Meloni removed from Rome church fresco Ukraine-Russia talks under way in Abu Dhabi in wake of ‘massive’ strikes on Kyiv – as it happened US and Iran talks brought back from the brink after White House relents on move to Oman Mandelson’s links with US tech firm Palantir must be fully exposed, campaigners warn Florida bill seeks to ban use of ‘West Bank’ in schools and state agencies Murdered son of Muammar Gaddafi was perceived as a threat to Libya’s elite Israeli strikes kill at least 21 in Gaza as Rafah patient crossings halted 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 Email appears to confirm photo of Andrew Mountbatten-Windsor and Virginia Giuffre is real Minister defends long delays to UK military spending plan Autistic girls much less likely to be diagnosed, study says Wes Streeting to offer resident doctors bigger pay rise to end dispute Mediterranean diet can reduce risk of stroke by up to 25%, long-term study suggests Democrats say ‘dramatic changes’ needed for immigration enforcement as DHS funding negotiations continue – live Fans race to learn Spanish before Bad Bunny's Super Bowl half-time show LaMonte McLemore, Grammy-winning singer with 5th Dimension, dies aged 90 Illinois joins WHO network after Trump pulls US out of global health body Google parent earnings beat projections amid plans to invest deeply in AIHacker News
Mouthbreathing Machiavellis Dream of a Silicon Reich (2014) NDP wants Carney to kill U.S. fighter jet contract in favour of Swedish aircraft Litestream Writable VFS As Rocks May Think Debian's Challenge When Its Developers Drift Away A real-world benchmark for AI code review Spotlighting the World Factbook as We Bid a Fond Farewell Show HN: Interactive California Budget (By Claude Code) The Codex app illustrates the shift left of IDEs and coding GUIs Tell HN: Another round of Zendesk email spam Turn any website into a live, structured data feed Claude Code for Infrastructure The Great Unwind Building a 24-bit arcade CRT display adapter from scratch AI is killing B2B SaaS Converge (YC S23) Is Hiring Product Engineers (NYC, In-Person) RS-SDK: Drive RuneScape with Claude Code Microsoft's Copilot chatbot is running into problems Arcan-A12: Weaving a Different Web Voxtral Transcribe 2Arxiv astro-ph.HE
GenASiS: General Astrophysical Simulation System. II. Self-gravitating Baryonic Matter Formation and Evolution of Antimatter Objects Gravitational-Wave Signals for Supernova Explosions of Three-Dimensional Progenitors Radiation-hydrodynamics of star-disc collisions for quasi-periodic eruptions Lightcurve Modelling of 2,205 ZTF DR2 Type~Ia Supernovae: Implications for SN Ia Physics and Cosmology An infrared echo from a circumstellar disk in the hydrogen- and helium-poor SN 2024aecx Cyclotron lines in subcritical X-ray pulsars: Monte Carlo simulations reveal the origin of the observed variability Investigating particle acceleration in the Wolf-Rayet bubble NGC 2359 How Distance Affects GRB Prompt Emission Measurements Long-term timing evolution of four Anomalous X-Ray Pulsars The orbital parameters of gamma-ray binary PSR~J2032+4127 SN 2024igg: A Super-Chandrasekhar/03fg-like SN exhibiting C II-dominated spectra after explosion Shells and bubbles around compact clusters of massive stars: 3D MHD simulations A case for Case A: detailed look at binary black hole formation through stable mass transfer Observational signatures of charged Bardeen black holes in perfect fluid dark matter with a cloud of strings Probing the Charged Hayward Black Hole in Dark Matter and String Cloud Environments through Shadow, Geodesics, and Quasinormal Spectrum The favoured twin: on the dynamical response of twin stars to perturbations The ubiquitous flavor pendulum Exploring Hyperon Skyrme Forces in Multi-$\Lambda$ Hypernuclei and Neutron Star Matter Narrow absorption lines from intervening material in supernovae: III. Supernovae and their environments Light-Curve and Spectral Properties of Type II Supernovae from the ATLAS survey Compact object of HESS J1731-347 and its implication on neutron star matter Photometry and Spectroscopy of SN 2024pxl: A Luminosity Link Among Type Iax Supernovae $\nu p$-process in Core-Collapse Supernovae: Imprints of General Relativistic Effects Prospects for Deep-Learning-Based Mass Reconstruction of Ultra-High-Energy Cosmic Rays using Simulated Air-Shower Profiles Gravitational-Wave Signatures of Highly Eccentric Stellar-Mass Binary Black Holes in Galactic Nuclei Anomalous scattering of pulsars towards the Gum Nebula The impact of superradiance on the spin evolution of variably accreting massive black holes Illuminating gravitational wave sources with Sgr A* flares Blazar PKS 0446+11 -- Neutrino connection study using a lepto-hadronic model A Persistently Active Fast Radio Burst source Embedded in an Expanding Supernova Remnant DAO: A New and Public Non-Relativistic Reflection Model Projected sensitivity of CTAO to axion-like particles from blazars with a machine learning approach New and updated timing models for seven young energetic X-ray pulsars, including the Big Glitcher PSR J0537-6910 Accretion flow around Kerr metric in the infra-red limit of asymptotically safe gravity Neutron star cooling implications and magnetic field of the Vela Junior central compact object from all XMM-Newton and Chandra spectra Cosmological Zoom-In Simulation of Odd Radio Circles as Merger-Driven Shocks in Galaxy Groups Emergent Turbulence in Nonlinear Gravity The Gravitational Wave Memory from Binary Neutron Star Mergers Solitary Alfv\'en WavesArxiv cs.LG
UNSO: Unified Newton Schulz Orthogonalization Augmenting Parameter-Efficient Pre-trained Language Models with Large Language Models Sparse Adapter Fusion for Continual Learning in NLP Learning ORDER-Aware Multimodal Representations for Composite Materials Design What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling GraphDancer: Training LLMs to Explore and Reason over Graphs via Curriculum Reinforcement Learning Scaled Dot-Product Attention implements projection of inputs onto a common surface IMU-1: Sample-Efficient Pre-training of Small Language Models TabularMath: Evaluating Computational Extrapolation in Tabular Learning via Program-Verified Synthesis The "Robert Boulton" Singularity: Semantic Tunneling and Manifold Unfolding in Recursive AI Incident-Guided Spatiotemporal Traffic Forecasting Formulating Reinforcement Learning for Human-Robot Collaboration through Off-Policy Evaluation Hypersonic Flow Control: Generalized Deep Reinforcement Learning for Hypersonic Intake Unstart Control under Uncertainty CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation Enhancing Post-Training Quantization via Future Activation Awareness How Much Information Can a Vision Token Hold? A Scaling Law for Recognition Limits in VLMs Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition Toward Ultra-Long-Horizon Sequential Model Editing SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models Beyond Alignment: Expanding Reasoning Capacity via Manifold-Reshaping Policy Optimization D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement ToolTok: Tool Tokenization for Efficient and Generalizable GUI Agents HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees EEO-TFV: Escape-Explore Optimizer for Web-Scale Time-Series Forecasting and Vision Analysis BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs The Alignment Curse: Cross-Modality Jailbreak Transfer in Omni-Models PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions A General ReLearner: Empowering Spatiotemporal Prediction by Re-learning Input-label Residual Label Curation Using Agentic AI High Rank Matrix Completion via Grassmannian Proxy Fusion A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space Mitigating Task-Order Sensitivity and Forgetting via Hierarchical Second-Order Consolidation Trajectory Consistency for One-Step Generation on Euler Mean Flows Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective Product Interaction: An Algebraic Formalism for Deep Learning Architectures QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control Effective Frontiers: A Unification of Neural Scaling Laws Fubini Study geometry of representation drift in high dimensional data ContextEvolve: Multi-Agent Context Compression for Systems Code Optimization RAP: KV-Cache Compression via RoPE-Aligned Pruning Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Discovering Data Manifold Geometry via Non-Contracting Flows A Semi-Supervised Pipeline for Generalized Behavior Discovery from Animal-Borne Motion Time Series daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently Learning Consistent Causal Abstraction Networks Learning Better Certified Models from Empirically-Robust Teachers Performance of Small Language Model Pretraining on FABRIC: An Empirical Study A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees hSNMF: Hybrid Spatially Regularized NMF for Image-Derived Spatial Transcriptomics MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Sparsely Supervised Diffusion Every Bit Counts: A Theoretical Study of Precision-Expressivity Tradeoffs in Quantized Transformers BinaryPPO: Efficient Policy Optimization for Binary Classification Maximum Likelihood Reinforcement Learning Towards Understanding Steering Strength Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion Automated Dysphagia Screening Using Noninvasive Neck Acoustic Sensing Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery Search-Augmented Masked Diffusion Models for Constrained Generation CAPS: Unifying Attention, Recurrence, and Alignment in Transformer-based Time Series Forecasting TabPFN for Zero-shot Parametric Engineering Design Generation TopoPrune: Robust Data Pruning via Unified Latent Space Topology Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective BiTimeCrossNet: Time-Aware Self-Supervised Learning for Pediatric Sleep VerIde ECG Biometrics: Verification and Identification Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning LEMON: Local Explanations via Modality-aware OptimizatioN Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Causality--\Delta: Jacobian-Based Dependency Analysis in Flow Matching Models Joint Learning of Hierarchical Neural Options and Abstract World Model Membership Inference Attacks from Causal Principles From Tokens to Numbers: Continuous Number Modeling for SVG Generation A Single Revision Step Improves Token-Efficient LLM Reasoning SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs Koopman Autoencoders with Continuous-Time Latent Dynamics for Fluid Dynamics Forecasting Tabula RASA: Exposing and Breaking the Relational Bottleneck in Transformers Semantics-Aware Generative Latent Data Augmentation for Learning in Low-Resource Domains Causal Flow Q-Learning for Robust Offline Reinforcement Learning Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data When pre-training hurts LoRA fine-tuning: a dynamical analysis via single-index models Late-Stage Generalization Collapse in Grokking: Detecting anti-grokking with Weightwatcher A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization Mixture of Concept Bottleneck Experts Self-Soupervision: Cooking Model Soups without Labels TraceNAS: Zero-shot LLM Pruning via Gradient Trace Correlation Controlled disagreement improves generalization in decentralized training Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning Spatiotemporal Decision Transformer for Traffic Coordination A Random Matrix Theory Perspective on the Consistency of Diffusion Models Notes on the Reward Representation of Posterior Updates Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels A Reproducible Framework for Bias-Resistant Machine Learning on Small-Sample Neuroimaging Data How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models? Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space Distance Marching for Generative Modeling RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection Rare Event Early Detection: A Dataset of Sepsis Onset for Critically Ill Trauma Patients 3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused Learning Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization Human-Centric Traffic Signal Control for Equity: A Multi-Agent Action Branching Deep Reinforcement Learning Approach Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning Co2PO: Coordinated Constrained Policy Optimization for Multi-Agent RL Why Some Models Resist Unlearning: A Linear Stability Perspective NLI:Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs Inference Learning to Repair Lean Proofs from Compiler Feedback Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral Descent Causal Graph Spatial-Temporal Autoencoder for Reliable and Interpretable Process Monitoring From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models Consistency Deep Equilibrium Models SAFE-KD: Risk-Controlled Early-Exit Distillation for Vision Backbones Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs Fedcompass: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More FlashSinkhorn: IO-Aware Entropic Optimal Transport TMS: Trajectory-Mixed Supervision for Reward-Free, On-Policy SFT Geometry-Preserving Neural Architectures on Manifolds with Boundary Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning PRISM: Structured Optimization via Anisotropic Spectral Shaping TextME: Bridging Unseen Modalities Through Text Descriptions Consensus Group Relative Policy Optimization for Text Generation Function-Space Empirical Bayes Regularisation with Large Vision-Language Model Priors Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost Contrastive Concept-Tree Search for LLM-Assisted Algorithm Discovery Enhanced Parcel Arrival Forecasting for Logistic Hubs: An Ensemble Deep Learning Approach SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization Self-Hinting Language Models Enhance Reinforcement Learning What Makes a Good Example? Modeling Exemplar Selection with Neural Network Representations MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling Adversarial construction as a potential solution to the experiment design problem in large task spaces Probe-then-Commit Multi-Objective Bandits: Theoretical Benefits of Limited Multi-Arm Feedback DynSplit-KV: Dynamic Semantic Splitting for KVCache Compression in Efficient Long-Context LLM Inference Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning Reinforcement Learning with Promising Tokens for Large Language Models From Scalar Rewards to Potential Trends: Shaping Potential Landscapes for Model-Based Reinforcement Learning Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models Topology Matters: A Cautionary Case Study of Graph SSL on Neuro-Inspired Benchmarks BayeSQP: Bayesian Optimization through Sequential Quadratic Programming Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures Beyond Suffixes: Token Position in GCG Adversarial Attacks on Large Language Models Unveiling Covert Toxicity in Multimodal Data via Toxicity Association Graphs: A Graph-Based Metric and Interpretable Detection Framework BlockRR: A Unified Framework of RR-type Algorithms for Label Differential Privacy Universal Approximation of Continuous Functionals on Compact Subsets via Linear Measurements and Scalar Nonlinearities Anomaly Detection via Mean Shift Density Enhancement Lipschitz Multiscale Deep Equilibrium Models: A Theoretically Guaranteed and Accelerated Approach R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? Periodic Regularized Q-Learning medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models Information-Theoretic Multi-Model Fusion for Target-Oriented Adaptive Sampling in Materials Design From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity Bayesian Conformal Prediction as a Decision Risk Problem Robustness as an Emergent Property of Task Performance Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship Achieving Linear Speedup for Composite Federated Learning MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures Dynamic Topology Optimization for Non-IID Data in Decentralized Learning An Approximate Ascent Approach To Prove Convergence of PPO Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting Most Convolutional Networks Suffer from Small Adversarial Perturbations Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework Soft-Radial Projection for Constrained End-to-End Learning Scaling Continual Learning with Bi-Level Routing Mixture-of-Experts ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications A Minimal Task Reveals Emergent Path Integration and Object-Location Binding in a Predictive Sequence Model Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs Lookahead Path Likelihood Optimization for Diffusion LLMs Reparameterization Flow Policy Optimization Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression Models A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning Rank-Learner: Orthogonal Ranking of Treatment Effects Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms WARP Logic Neural Networks Robust Representation Learning in Masked Autoencoders Sparse Training of Neural Networks based on Multilevel Mirror Descent MatGPTQ: Accurate and Efficient Post-Training Matryoshka Quantization How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting Riemannian Neural Optimal Transport EVE: Efficient Verification of Data Erasure through Customized Perturbation in Approximate Unlearning Asymmetric Hierarchical Anchoring for Audio-Visual Joint Representation: Resolving Information Allocation Ambiguity for Robust Cross-Modal Generalization Optimization and Generation in Aerodynamics Inverse Design APEX: Probing Neural Networks via Activation Perturbation SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network Explanations Leak: Membership Inference with Differential Privacy and Active Learning Defense Quantization-Aware Regularizers for Deep Neural Networks Compression Ultra Fast PDE Solving via Physics Guided Few-step Diffusion CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG Sequential Group Composition: A Window into the Mechanics of Deep Learning Equilibrium Propagation for Non-Conservative Systems ContraLog: Log File Anomaly Detection with Contrastive Learning and Masked Language Modeling Universal One-third Time Scaling in Learning Peaked Distributions QuAIL: Quality-Aware Inertial Learning for Robust Training under Data Corruption LLM-Inspired Pretrain-Then-Finetune for Small-Data, Large-Scale Optimization Conflict-Resolving and Sharpness-Aware Minimization for Generalized Knowledge Editing with Multiple Updates Data-Driven Graph Filters via Adaptive Spectral Shaping Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization Fast-MWEM: Private Data Release in Sublinear Time Soft Sensor for Bottom-Hole Pressure Estimation in Petroleum Wells Using Long Short-Term Memory and Transfer Learning Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon Reasoning with Latent Tokens in Diffusion Language Models UniGeM: Unifying Data Mixing and Selection via Geometric Exploration and Mining Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity Efficient Estimation of Kernel Surrogate Models for Task Attribution Inference-time Unlearning Using Conformal Prediction Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation Manifold Random Features Prediction of Critical Heat Flux in Rod Bundles Using Tube-Based Hybrid Machine Learning Models in CTF Bridging Online and Offline RL: Contextual Bandit Learning for Multi-Turn Code Generation Enhancing Imbalanced Node Classification via Curriculum-Guided Feature Learning and Three-Stage Attention Network Antidistillation Fingerprinting SymPlex: A Structure-Aware Transformer for Symbolic PDE Solving Robust Intervention Learning from Emergency Stop Interventions Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning Kimi K2.5: Visual Agentic Intelligence Test-Time Detoxification without Training or Learning Anything Learning-augmented smooth integer programs with PAC-learnable oracles Design and Evaluation of Whole-Page Experience Optimization for E-commerce Search CreditAudit: 2D Auditing for LLM Evaluation and Selection Measuring Individual User Fairness with User Similarity and Effectiveness Disparity GASTON: Graph-Aware Social Transformer for Online Networks HMVLA: Hyperbolic Multimodal Fusion for Vision-Language-Action Models WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models Experience-Driven Multi-Agent Systems Are Training-free Context-aware Earth Observers MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems PeerRank: Autonomous LLM Evaluation Through Web-Grounded, Bias-Controlled Peer Review Position: 3D Gaussian Splatting Watermarking Should Be Scenario-Driven and Threat-Model Explicit CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models Trustworthy Blockchain-based Federated Learning for Electronic Health Records: Securing Participant Identity with Decentralized Identifiers and Verifiable Credentials Rethinking Test-Time Training: Tilting The Latent Distribution For Few-Shot Source-Free Adaptation A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior Monotonicity as an Architectural Bias for Robust Language Models Eidolon: A Practical Post-Quantum Signature Scheme Based on k-Colorability in the Age of Graph Neural Networks NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization From Task Solving to Robust Real-World Adaptation in LLM Agents Scaling-Aware Adapter for Structure-Grounded LLM Reasoning Evaluating False Alarm and Missing Attacks in CAN IDS Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks LmPT: Conditional Point Transformer for Anatomical Landmark Detection on 3D Point Clouds Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression Beyond Content: Behavioral Policies Reveal Actors in Information Operations Chain of Simulation: A Dual-Mode Reasoning Framework for Large Language Models with Dynamic Problem Routing IMAGINE: Intelligent Multi-Agent Godot-based Indoor Networked Exploration STEER: Inference-Time Risk Control via Constrained Quality-Diversity Search "I May Not Have Articulated Myself Clearly": Diagnosing Dynamic Instability in LLM Reasoning at Inference Time DoubleTake: Contrastive Reasoning for Faithful Decision-Making in Medical Imaging Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs A Multi-scale Linear-time Encoder for Whole-Slide Image Analysis DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution Training-Free Self-Correction for Multimodal Masked Diffusion Models Weighted Sum-of-Trees Model for Clustered Data Synthetic Data Augmentation for Medical Audio Classification: A Preliminary Evaluation Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control Learning Fast Monomial Orders for Gr\"obner Basis Computations Where Norms and References Collide: Evaluating LLMs on Normative Reasoning Aligning Forest and Trees in Images and Long Captions for Visually Grounded Understanding Methods and Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering Rethinking Music Captioning with Music Metadata LLMs Physics-inspired transformer quantum states via latent imaginary-time evolution Generalizable and Interpretable RF Fingerprinting with Shapelet-Enhanced Large Language Models LatentMem: Customizing Latent Memory for Multi-Agent Systems Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing for Indoor Firefighting: An End-to-End Reinforcement Learning Approach Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation Online Conformal Prediction via Universal Portfolio Algorithms NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution Latent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning Principled Federated Random Forests for Heterogeneous Data HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE) A Novel approach to portfolio construction Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention Tiled Prompts: Overcoming Prompt Underspecification in Image and Video Super-Resolution Building Interpretable Models for Moral Decision-Making PACE: Pretrained Audio Continual Learning GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer Symbol-Aware Reasoning with Masked Discrete Diffusion for Handwritten Mathematical Expression Recognition From Vicious to Virtuous Cycles: Synergistic Representation Learning for Unsupervised Video Object-Centric Learning Improving the Linearized Laplace Approximation via Quadratic Approximations Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising Utility Enhancing Quantum Diffusion Models for Complex Image Generation CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering DiscoverLLM: From Executing Intents to Discovering Them Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning CRL-VLA: Continual Vision-Language-Action Learning Score-based diffusion models for diffuse optical tomography with uncertainty quantification IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM Reasoning DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs Generative Decompression: Optimal Lossy Decoding Against Distribution Mismatch Can Large Language Models Generalize Procedures Across Representations? EHRWorld: A Patient-Centric Medical World Model for Long-Horizon Clinical Trajectories $V_0$: A Generalist Value Model for Any Policy at State Zero Generator-based Graph Generation via Heat Diffusion Simulation-Based Inference via Regression Projection and Batched Discrepancies TRE: Encouraging Exploration in the Trust Region Mitigating Conversational Inertia in Multi-Turn Agents Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators Conditional Flow Matching for Visually-Guided Acoustic Highlighting Fast Sampling for Flows and Diffusions with Lazy and Point Mass Stochastic Interpolants Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity Conformal Thinking: Risk Control for Reasoning on a Compute Budget Fast-Slow Efficient Training for Multimodal Large Language Models via Visual Token Pruning Preference-based Conditional Treatment Effects and Policy Learning Investigating Quantum Circuit Designs Using Neuro-Evolution On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence Discrete Latent Structure in Neural Networks Contextual Causal Bayesian Optimisation Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods Sparse maximal update parameterization: A holistic approach to sparse training dynamics ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning Conformal Prediction for Causal Effects of Continuous Treatments Hyper-Compression: Model Compression via Hyperfunction Fast Training of Sinusoidal Neural Fields via Scaling Initialization Dataset-Driven Channel Masks in Transformers for Multivariate Time Series Individual Regret in Cooperative Stochastic Multi-Armed Bandits Agnostic Learning of Arbitrary ReLU Activation under Gaussian Marginals Deep Graph Learning will stall without Network Science OverThink: Slowdown Attacks on Reasoning LLMs Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence Latent Space Representation of Electricity Market Curves: Maintaining Structural Integrity An Overview of Low-Rank Structures in the Training and Adaptation of Large Models GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning Multi-Level Monte Carlo Training of Neural Operators Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast Inferring stochastic dynamics with growth from cross-sectional data SPAR: Self-supervised Placement-Aware Representation Learning for Distributed Sensing Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data Position: Epistemic uncertainty estimation methods are fundamentally incomplete On Universality Classes of Equivariant Networks Relational reasoning and inductive bias in transformers and large language models NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models Differentially Private Relational Learning with Entity-level Privacy Guarantees Sharpness-Aware Machine Unlearning Sensitivity analysis of image classification models using generalized polynomial chaos Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test DOME: Improving Signal-to-Noise in Stochastic Gradient Descent via Sharp-Direction Subspace Filtering Accurate and Efficient World Modeling with Masked Latent Transformers Kimi K2: Open Agentic Intelligence Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration Multi-view Graph Condensation via Tensor Decomposition Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study Emergent Alignment via Competition A Capacity-Based Rationale for Multi-Head Attention fev-bench: A Realistic Benchmark for Time Series Forecasting Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction Mechanistic Interpretability as Statistical Estimation: A Variance Analysis Power Transform Revisited: Numerically Stable, and Federated BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining MoGU: Mixture-of-Gaussians with Uncertainty-based Gating for Time Series Forecasting GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks Designing ReLU Generative Networks to Enumerate Trees with a Given Tree Edit Distance Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training S4ECG: Exploring the impact of long-range interactions for arrhythmia prediction Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery Simple Denoising Diffusion Language Models Transformers can do Bayesian Clustering Methodology for Comparing Machine Learning Algorithms for Survival Analysis Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction DiScoFormer: Plug-In Density and Score Estimation with Transformers Moirai 2.0: When Less Is More for Time Series Forecasting Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves Mitigating Gender Bias in Depression Detection via Counterfactual Inference Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space Encoder-Free Knowledge-Graph Reasoning with LLMs via Hyperdimensional Path Retrieval Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization KVzap: Fast, Adaptive, and Faithful KV Cache Pruning Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design Sample-Near-Optimal Agnostic Boosting with Improved Running Time Learning from Synthetic Data: Limitations of ERM PRISM: Deriving a White-Box Transformer as a Signal-Noise Decomposition Operator via Maximum Coding Rate Reduction Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes Toward Learning POMDPs Beyond Full-Rank Actions and State Observability SEAFormer: A Spatial Proximity and Edge-Aware Transformer for Real-World Vehicle Routing Problems CiMRAG: CiM-Aware Domain-Adaptive and Noise-Resilient Retrieval-Augmented Generation for Edge-Based LLMs GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning Textual Equilibrium Propagation for Deep Compound AI Systems The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onset Transferable Graph Condensation from the Causal Perspective Convex Loss Functions for Support Vector Machines (SVMs) and Neural Networks Scalable Linearized Laplace Approximation via Surrogate Neural Kernel Non-Intrusive Graph-Based Bot Detection for E-Commerce Using Inductive Graph Neural Networks SCPL: Enhancing Neural Network Training Throughput with Decoupled Local Losses and Model Parallelism SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation Embedding Compression via Spherical Coordinates Variational Approach for Job Shop Scheduling OD-DEAL: Dynamic Expert-Guided Adversarial Learning with Online Decomposition for Scalable Capacitated Vehicle Routing NEST: Nested Event Stream Transformer for Sequences of Multisets Learning Heat-based Equations in Self-similar variables Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing MiTA Attention: Efficient Fast-Weight Scaling via a Mixture of Top-k Activations Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination Time2Vec Transformer for Robust Gesture Recognition from Low-Density sEMG FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference Optimization AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics Patronus: Interpretable Diffusion Models with Prototypes Align to Structure: Aligning Large Language Models with Structural Information A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance Stability Regularized Cross-Validation AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models Learning non-equilibrium diffusions with Schr\"odinger bridges: from exactly solvable to simulation-free Reward Model Interpretability via Optimal and Pessimal Tokens Geometry-aware 4D Video Generation for Robot Manipulation Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks Trustworthy AI-based crack-tip segmentation using domain-guided explanations CP-Agent: Agentic Constraint Programming The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings Emergent time-keeping mechanisms in a deep reinforcement learning agent performing an interval timing task Uncertainty-driven Adaptive Exploration Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning Bias-variance Tradeoff in Tensor Estimation Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation Improved Stochastic Optimization of LogSumExp EVODiff: Entropy-aware Variance Optimized Diffusion Inference Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation Reusing Overtrained Language Models Saturates Scaling Causality Guided Representation Learning for Cross-Style Hate Speech Detection DynaSpec: Context-aware Dynamic Speculative Sampling for Large-Vocabulary Language Models BioGen: An Evidence-Grounded Framework for Interpreting RNA-seq Gene Clusters in Antimicrobial Resistance Research Joint Estimation of Piano Dynamics and Metrical Structure with a Multi-task Multi-Scale Network A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI Quantum Information Ordering and Differential Privacy NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes Measuring Agents in Production An End-to-End Approach for Microgrid Probabilistic Forecasting and Robust Operation via Decision-focused Learning Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network A Unified Definition of Hallucination: It's The World Model, Stupid! Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders AWaRe-SAC: Proactive Slice Admission Control under Weather-Induced Capacity Uncertainty TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models Comprehensive Machine Learning Benchmarking for Fringe Projection Profilometry with Photorealistic Synthetic Data Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints Information-Theoretic Causal Bounds under Unmeasured Confounding RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems Task-Centric Policy Optimization from Misaligned Motion Priors NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data SERA: Soft-Verified Efficient Repository Agents Linear representations in language models can change dramatically over a conversation Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion Optimal Decision-Making Based on Prediction Sets Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives Zero2Text: Zero-Training Cross-Domain Inversion Attacks on Textual Embeddings Sentence Curve Language Models RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL Interpreting and Controlling LLM Reasoning through Integrated Policy GradientArxiv 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 Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion 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: Simple yet Powerful 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 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 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)
masoncl/review-prompts github/spec-kit xerrors/Yuxi-Know karpathy/nanochat EbookFoundation/free-programming-books shareAI-lab/learn-claude-code vanna-ai/vanna jingyaogong/minimind TauricResearch/TradingAgents OpenBMB/ChatDev openai/skills microsoft/autogen kovidgoyal/calibre VectifyAI/PageIndexGithub Trending (C)
u-boot/u-boot FreeRTOS/FreeRTOS-Kernel immortalwrt/immortalwrt openssl/openssl littlefs-project/littlefs pgvector/pgvector openwall/john git/git xiaojieonly/Ehviewer_CN_SXJ sqlcipher/sqlcipher Escartem/AnimeStudio lvgl/lvgl open62541/open62541 nrfconnect/sdk-nrf zephyrproject-rtos/zephyr armel/uv-k1-k5v3-firmware-custom taosdata/TDengine jniebuhr/gaggimate raysan5/raylib riscv-collab/riscv-gnu-toolchainNature
Author Correction: Cotranslational assembly of protein complexes in eukaryotes revealed by ribosome profiling These mysterious ridges could help skin regenerate A universal concept for melting in mantle upwellings Atlas-guided discovery of transcription factors for T cell programming Regulatory grammar in human promoters uncovered by MPRA-based deep learning Biofluid biomarkers in Alzheimer’s disease and other neurodegenerative dementias PtdIns(3,5)P2 is an endogenous ligand of STING in innate immune signalling Atmospheric H2 variability over the past 1,100 years Large-scale analogue quantum simulation using atom dot arrays Synthesizing scientific literature with retrieval-augmented language models Discovery Learning predicts battery cycle life from minimal experiments Bacterial immune activation via supramolecular assembly with phage triggers Signatures of fractional charges via anyon–trions in twisted MoTe2 A pore-forming antiphage defence is activated by oligomeric phage proteins Imaging a terahertz superfluid plasmon in a two-dimensional superconductor Parkinson’s disease as a somato-cognitive action network disorder Phenome-wide analysis of copy number variants in 470,727 UK Biobank genomes Tumour–brain crosstalk restrains cancer immunity via a sensory–sympathetic axis Contemporaneous mobile- and stagnant-lid tectonics on the Hadean Earth Single-molecule dynamics of the TRiC chaperonin system in vivo ZFTA–RELA ependymomas make itaconate to epigenetically drive fusion expression Spin-wave band-pass filters for 6G communication Imaging the sub-moiré potential using an atomic single electron transistor Regulation of STING activation by phosphoinositide and cholesterol Cleavage of mRNAs by a minority of pachytene piRNAs improves sperm fitness Resolving intervalley gaps and many-body resonances in moiré superconductors Activated ATF6α is a hepatic tumour driver restricting immunosurveillance Rete ridges form via evolutionarily distinct mechanisms in mammalian skin Mosquito–capsid interactions contribute to flavivirus vector specificity Integrated structural dynamics uncover a new B12 photoreceptor activation mode Efficient near-telomere-to-telomere assembly of nanopore simplex reads Measuring spin correlation between quarks during QCD confinement Chemical capture of diazo metabolites reveals biosynthetic hydrazone oxidation Author knows best? Top AI conference asks for self-ranked papers amid paper deluge The smart sensors improving the world’s biggest cities Innovative CAR-T therapy destroys cancer cells without dangerous side effects Biodiversity conservation has an evidence problem — it’s time to fix it NIH rolls back red tape on some experiments — spurring excitement and concern ‘It means I can sleep at night’: how sensors are helping to solve scientists’ problems Machine learning slashes the testing needed to work out battery lifetimes What my cave stay taught me about sensors A tumour-to-brain pathway hinders anticancer defences Common genetic variants affect risk of a major cause of pregnancy loss Open-source AI tool beats giant LLMs in literature reviews — and gets citations right Particle collisions cast light on how matter forms from seemingly empty space How tumours trick the brain into shutting down cancer-fighting cells Eviction notice Atlantic ocean currents defied the ice age Quantum computers will finally be useful: what’s behind the revolution Evolutionary insights into a skin fold Immune cells from the gut drive development of Parkinson’s disease in the brain A way to gauge the equity of ocean-related initiatives How a protein repurposes vitamin B12 as a light sensor AI could transform research assessment — and some academics are worried 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 Daily briefing: What people with no ‘mind’s eye’ can tell us about consciousness 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 reachCNN
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
Researchers say no evidence of TikTok censorship, but they remain wary Newly released court records reveal misconduct inquiry into federal judge Moltbook is the newest social media platform — but it's just for AI bots The Supreme Court lets California use its new, Democratic-friendly congressional map Is the U.S. heading into a dictatorship? Reporter's notebook: A peek inside the Olympic Village Search for Nancy Guthrie, mother of 'Today' show host Savannah Guthrie, enters 4th day Greetings from Kyiv, where candles are the last option during wartime blackouts Bezos orders deep job cuts at 'Washington Post' Photos: Scenes from the 150th Westminster Dog ShowThe Atlantic
Why Trump Wants a Weaker Dollar It Was Too Easy for Eileen Mihich to Kill Herself The Chatbots Appear to Be Organizing Today’s Atlantic Trivia: Whose ‘Better Angels’ Are These? The Queen of Mockumentaries How to Actually Reform ICE Trump vs. Canada This Is Not the Kennedy Center American Milk Has Changed People’s Choice: Wildlife Photographer of the Year 2026 The Second Death of Charlie Kirk The Murder of The Washington Post Let Your Kids Fail The Unsettling Rise of AI Real-Estate Slop Why This Shutdown Is Different Trump’s New Threats to American Elections Which Washington Landmark Will Donald Trump Destroy Next? 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 ReadVox
Is the Trump administration backing down in Minneapolis? 2026 Winter Olympics in Italy Trump’s occupation of Minneapolis has broken the Justice Department Why the government really, really wants you to drink (whole) milk You shouldn’t have posted that. Now what? The hidden double standards driving our housing crisis Epstein gave America a common enemy A victory for Haitian immigrants, briefly explained Is a new US-Russia arms race about to begin? Three issues that could sink TrumpAl Jazeera
Ukraine says first day of peace talks with Russia ‘productive’ US Supreme Court rejects challenge to California redistricting effort US-Iran nuclear talks set for Oman on Friday, Tehran confirms Man convicted of trying to assassinate Trump to serve life in prison AIPAC-linked PAC ups pressure on ‘moderate’ US Democrat in new strategy Why is there a mixed reaction in India to the US trade deal? Return through Rafah: Palestinian women recount Israeli interrogation Colombia’s EGC suspends Doha peace talks over Petro-Trump meeting Russia criticises US as final nuclear warhead treaty set to expire What is Tarique Rahman’s vision for Bangladesh? ‘Treacherous assassination’: Who was Saif al-Islam Gaddafi? Six British activists acquitted over raid on Israeli defence firm’s factory Some in Israel question its influence over US as Iran war decision nears Rubio: US ready to talk with Iran, ‘not sure’ a deal can be reached Washington Post announces massive layoffs in blow to storied paper Hungary jails German activist for 8 years over attacks on neo-Nazi rally Russia jails stand-up comic Artemy Ostani over war joke Russia’s Putin holds video call with China’s Xi Israeli strikes kill more than 20 in Gaza, shatter ‘ceasefire’ myth US announces proposed critical mineral trading bloc Killing of Saif Gaddafi removes alternative to Libya’s rival governments Mixed emotions among Palestinians as Rafah crossing partially reopens Trump hails ‘excellent’ phone call with China’s Xi amid trade tensions Gaza on the agenda as Turkiye’s Erdogan meets Egypt’s el-Sisi in Cairo Russian shelling kills seven in Ukrainian market, clouding Abu Dhabi talksArs Technica
Microsoft releases urgent Office patch. Russian-state hackers pounce. FBI stymied by Apple's Lockdown Mode after seizing journalist's iPhone Should AI chatbots have ads? Anthropic says no. US House takes first step toward creating "commercial" deep space program Judge gives Musk bad news, says Trump hasn't intervened to block SEC lawsuit Trump admin is "destroying medical research," Senate report finds "Capture it all": ICE urged to explain memo about collecting info on protesters User blowback convinces Adobe to keep supporting 30-year-old 2D animation app Russian spy satellites have intercepted EU communications satellites NASA finally acknowledges the elephant in the room with the SLS rocket So yeah, I vibe-coded a log colorizer—and I feel good about it Netflix says users can cancel service if HBO Max merger makes it too expensive 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?"Slashdot
Microsoft Adds Sysmon To Windows Russian Spy Satellites Have Intercepted EU Communications Satellites 'Everyone is Stealing TV' As Software Stocks Slump, Investors Debate AI's Existential Threat Anthropic Pledges To Keep Claude Ad-free, Calls AI Conversations a 'Space To Think' Pinterest Sacks Workers For Creating Tool To Track Layoffs Why Google's Android for PC Launch May Be Messy and Controversial Adobe Actually Won't Discontinue Animate AMD Hints the Next-Gen Xbox Console Could Launch Next Year Say Hello To GoogleSQL OpenAI's Lead Is Contracting as AI Competition Intensifies Walmart Joins $1 Trillion Club 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 MarchGizmodo
I Really Hope the New ‘Ghost in the Shell’ Anime Keeps the Major’s Manga Goofiness Zohran Mamdani Responds to Polymarket’s Free Grocery Store Stunt You Won’t Believe What’s Stuck in This Deer’s Antlers—and It’s a 2026 People’s Choice Finalist Somehow, I’d Never Heard of This Post-Apocalyptic Football Movie Gigantic Headphone Speakers Are the Goofiest Thing I’ve Ever Seen Will an Nvidia Laptop Even Matter? ‘Overwatch 2’ Rebrands, and Its Messy Arc Is Complete The Western US Is in a Snow Drought. What Comes Next Is Even Scarier Why the Epstein Files Are Reviving a Conspiracy Theory About Wayfair and Human Trafficking ‘Crown’ Star Claire Foy Quit Caffeine After Living With Gut Parasite for Half a Decade Washington Post Lays Off Its Amazon Beat Reporter as Bezos Brings the Hammer Down ‘Fallout’ Season 2 Ends Pointing at the Big Bad You Already Knew Was Coming Crypto Market in Shambles as Bitcoin Price Down 40% Since October High Rent-a-Human Site Lets AI Agents Hire an IRL Set of Opposable Thumbs The Oscar-Nominated ‘Avatar’ Costume Designer Explains That Yes, Those Na’vi Outfits Are Real Enormous Pair of Deep-Earth Hot ‘Blobs’ Shape Earth’s Magnetic Field, Scientists Say Jacob Elordi’s Mom Told Him to Never Work With Guillermo del Toro for a Very Mom Reason Ancient ‘Dial-a-Poem’ Service Rises From the Grave, Lets You Use Your Phone as a Phone New Mexico Newborn Dies After Mother Drank Raw Milk, Prompting Fresh Warnings A24 Will Revive ‘Texas Chainsaw Massacre’ With a TV Show and MovieSmithsonian Magazine
Nearly Four in Ten New Cancer Cases Per Year Might Be Preventable, According to the World Health Organization See 24 Astounding Images From the Wildlife Photographer of the Year Contest—and Vote for Your Favorite This New Samurai Exhibition Will Challenge Your Understanding of the Japanese Warrior Class You Can Buy Jack Kerouac's Early Draft of 'On the Road,' Which He Typed on a 121-Foot-Long Scroll Astronomers Spot a Huge Cluster of Galaxies Forming Earlier in Cosmic History Than Thought Possible A.I. Could Help Doctors Spot Hard-to-Detect Signs of Breast Cancer During Routine Screenings, a Clinical Trial Suggests Seals Are Seemingly Vanishing Off the Dutch Coast. These Scientists Are Trying to Get to the Bottom of the Mysterious Disappearances Afghanistan Was a Crossroad of the Ancient World, Where Hellenistic Culture Blended With Buddhist Influences 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 CarolinaInfoQ
Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems Java Explores Carrier Classes to Extend Data-Oriented Programming Beyond Records Vercel Introduces Skills.sh, an Open Ecosystem for Agent Commands Agent Trace: Cursor Proposes an Open Specification for AI Code Attribution Article: From Alert Fatigue to Agent-Assisted Intelligent Observability Astro Announces Version 6 Beta with Redesigned Development Server and First-Class Cloudflare Workers GitHub Reworks Layered Defenses After Legacy Protections Block Legitimate Traffic 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 CookiesDynomight
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
Kazuhito Yamashita, RIP Regulating a Monopolist without Subsidy Wednesday assorted links Now we are getting serious… The economics of hip hop 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)Not 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
Launching The Rural Guaranteed Minimum Income Initiative 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 SecurityNASA Breaking News
Curiosity Blog, Sols 4788-4797: Welcome Back from Conjunction NASA, University of Texas Expand Research and Workforce Development Station Nation: Erin Edwards, Deputy Branch Chief for Crew Operations and Capsule Communicator TB 26-01 Evaluation of Adhesive and Solvent Alternatives for Polymeric Bonding Applications ARMD Research Solicitations (Updated Feb. 4) NASA Armstrong Contributions Propel Artemis, Deep Space Innovation NASA Heat Shield Tech Contributes to America’s Space Industry NASA’s SPHEREx Examines Comet 3I/ATLAS’s Coma Tracking Glacial Change with Landsat and Radar Chilled New York CityQuanta Magazine
Expansion Microscopy Has Transformed How We See the Cellular World 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?Science Daily
Melting Antarctic ice may weaken a major carbon sink MIT's new brain tool could finally explain consciousness The overlooked nutrition risk of Ozempic and Wegovy New catalyst turns carbon dioxide into clean fuel source This unexpected plant discovery could change how drugs are made A 25-year study found an unexpected link between cheese and dementia Why heart disease risk in type 2 diabetes looks different for men and women The genetic turning point that made backbones possible Sound machines might be making your sleep worse A hidden cellular process may drive aging and disease This strange little dinosaur is forcing a rethink of evolution 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 OzempicSpaceflight 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
NASA Moon mission launch srubbed to March after test SpaceX grounds Falcon 9 missions, could impact ISS launch Voyager outlines infrastructure-led roadmap for long-term US lunar presence ESA adjusts Cluster orbits for rare twin reentry campaign Muon Space ramps up multi-mission satellite constellations Musk merges xAI into SpaceX in bid to build space data centers Experts warn of urgent need to address human reproduction risks in space KSAT rolls out AI driven maritime monitoring platform Space Force stands up SPACEFOR-NORTH for homeland mission Lockheed ramps up THAAD interceptor output with new framework deal and Camden facility DARPA taps Raytheon for new maritime defense system NASA Libera payload completes testing for future Earth energy tracking mission NISAR radar view maps surface changes in Mississippi Delta Rock microbes reveal hidden groundwater carbon engine Antarctic ice feedback limits Southern Ocean carbon sinkSpace News
Viridian inks cooperative agreement with Air Force Research Laboratory FireSat adds orbit-visualization software to help firefighters plan around satellite passes Space telescopes at light speed Silicon as strategy: the hidden battleground of the new space race Senate committee delays consideration of bill to streamline FCC satellite licensing SmallSat Alliance shifts focus from proliferation to coordination As satellites become targets, Space Force plans a broader role NASA examining hydrogen leaks during Artemis 2 fueling test 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 testMartin Fowler
Fragments: February 4 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 linksEmbedded 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