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Justice Department releases millions of pages of documents in Epstein investigation - CNN Coast Guard conducts search following EPIRB activation from fishing vessel off New England coast - United States Coast Guard News (.mil) Justice Department defends Tulsi Gabbard’s presence at Atlanta election search - Politico DOJ files federal charges against man accused of attacking Rep. Ilhan Omar - NBC News Hochul Seeks to Bar N.Y. Police From Helping ICE on Non-Criminal Issues - The New York Times Texas A&M Ends Women’s Studies and Overhauls Hundreds of Classes on Race and Gender - The New York Times Trump commerce secretary Howard Lutnick arranged to visit Epstein island, files show - The Guardian Texas May Be Losing Its Grip as America’s Fastest-Growing State - The New York Times Trump’s Lawsuit Against I.R.S. Creates ‘Enormous Conflict of Interest’ - The New York Times Israel reopening Gaza’s border crossing with Egypt on Sunday after long closure - AP News Jeffrey Epstein sent thousands of pounds to Peter Mandelson’s husband, emails show - Financial Times Son of Norway crown princess to stand trial for allegedly raping 4 women - CBS News Israel accepts health authorities’ Gaza death toll is broadly accurate, saying 70,000 have died - The Guardian Stock Market Today: Kevin Warsh is Trump's Fed Pick; Silver Crashes, Dow Falls — Live Updates - The Wall Street Journal Verizon Posts Strong Subscriber Gains Under New CEO - The Wall Street Journal Eli Lilly CEO says Medicare coverage of obesity drugs could 'change the game' for upcoming pill launch - CNBC 'Washington Post' journalists plea to Bezos: Don't gut our newsroom - NPR The TV industry finally concedes that the future may not be in 8K - Ars Technica Google adds Video Overviews to NotebookLM app on Android, iOS - 9to5Google Super Bowl 2026 TV deals: The best sales on OLEDs and other smart TVs ahead of kickoff - Engadget Your Halo Story | Halo - Official Site (en) - Halo Waypoint Eggs, hats and unfettered ambition: what we learned about Melania Trump from her documentary - The Guardian Eric Edholm 2026 NFL mock draft 1.0: Two receivers in top five; Patriots, Seahawks bolster elite defenses - NFL.com Missed Fists: Amateur fight ends in scary face-plant knockout at Dan Henderson MMA show - MMA Fighting The 12 NFL Teams That Haven’t Won a Super Bowl and Why - Sports Illustrated Steelers hire Patrick Graham as Mike McCarthy's D-coordinator - ESPN Crew-12, scheduled to launch on Wednesday 11 February - European Space Agency Astronomers watch 1st black hole ever imaged launch a 3,000‑light‑year‑long cosmic jet from its glowing 'shadow' - Yahoo Stone Age teenager was mauled by a bear 28,000 years ago, skeletal analysis confirms - Live Science Comet C/2025 K1 (ATLAS) crumbles apart in stunning new telescope images - Space Over 50 latent tuberculosis cases detected at SF high school amid outbreak - SFGATE Staying up late is linked to poorer heart health. Here’s what night owls need to know - CNN The flu isn’t done yet, as new data suggests infections are rebounding - CNN Guest column | A self-collected test allowed me to finally get cervical cancer screening - The Washington PostBBC News
Takeaways from the millions of newly released Epstein files Epstein invited 'The Duke' to meet Russian woman Schitt's Creek and Home Alone star Catherine O'Hara dies aged 71 Asylum seeker sentenced to at least 29 years for murdering hotel worker Rhiannon Whyte UN risks 'imminent financial collapse', secretary general warns England cricketer Harry Brook says he lied to protect other players after nightclub altercation Three reasons for the record rise in gold prices, and one why they are falling Former CNN host Don Lemon faces charges after anti-ICE protest at Minnesota church Luigi Mangione will not face death penalty if convicted, judge rules Labour peer who had sanctions lifted by China says it's 'meagre return' for UK Driver jailed for life over deadly Christmas Day rampage in London's West End Snow Moon: How to see the last full moon of winter Chris Mason: What Starmer's China reset tells us about his foreign policy This tiny Australian town is up for sale - but the locals don't want to leave An ingredient for this curry is missing - and in eight minutes, it's at the door Will Trump's pick to lead US central bank get him the change he wants? Why Iran's response to a US attack could be different this time Alan Carr accidentally revealed Traitors victory hours after filming Labubu to open seven UK shops, after PM's China visit Manchester Pride confirms go-ahead after previous operator went bust Company behind Prince George's baby shoes warns it may close Millions to get £150 off energy bills for further five years BBC News app Why does Keir Starmer's visit matter to China? Can Trump 'de-escalate' Minneapolis tensions after Alex Pretti killing? Richard Burton and Clint Eastwood lead in this classic war film Brook lied 'to protect' others after nightclub altercation Djokovic steals show as Australian Open finally ignites Curran takes hat-trick as England win first T20 Barcelona 'shakedown' offers first hints of F1 2026 Are Arsenal fans making team nervous in title race? Power versus power - will Rybakina or Sabalenka blink first? Littler comes back from brink in World MastersFinancial Times (World)
Epstein emails claim Bill Gates hid STD from wife after sex with ‘Russian girls’ Trump set to nominate economist Brett Matsumoto to head statistics agency Panama court kicks Hong Kong’s CK Hutchison out of canal ports Starmer’s China trip thaws relations with Beijing but spurs criticism at home Federal Reserve live: Donald Trump nominates Kevin Warsh to be Fed chair, Dollar jumps by the most since May 2025 Trump’s immigration climbdown. Plus, a new Fed chair? Luigi Mangione will not face death penalty, US judge rules Warsh cycle Journalist Don Lemon arrested over Minneapolis church protest Lemonade turns self-driving cars from threat to opportunity Ronnie Scott’s has had a revamp – take a first look The frank warning from Switzerland on the dollar The memory market melt-up is only getting wilder The next Fed chair still has a lot to prove New Dutch government to raise ‘freedom’ tax for defence We will use EU summit to further unwind Brexit, vows Starmer Trump nominates Kevin Warsh as Federal Reserve chair Indonesia’s top financial regulator quits in wake of market turmoil Israel and South Africa expel envoys in escalating dispute Iran says it will not negotiate with US on ballistic missiles Italian far-right activists push for ‘remigration’ law Eurozone economy unexpectedly grows by 0.3% in fourth quarter Wall Street analysts weigh Warsh Chinese whispers - at home and abroad For UK growth, look to the AndysFinancial Times (UK)
Starmer’s China trip thaws relations with Beijing but spurs criticism at home Ronnie Scott’s has had a revamp – take a first look We will use EU summit to further unwind Brexit, vows Starmer Chinese whispers - at home and abroad For UK growth, look to the Andys Inflation and interest rates tracker: see how your country compares Trump warns Starmer against closer business ties with China China lifts travel ban on British MPs Should I hire someone with designs on my job? UK services sector holds out hopes for China boost after Starmer visit Labour lacks the data and modelling to justify its judicial reforms London’s high land prices need ‘market adjustment’, says housing minister Anomaly in UK rental reforms would leave thousands paying stamp duty The employees secretly working a four-day week Gold and silver fall from record highs in metals market whiplash Labour’s gamble to turn AI threat into opportunity Homicides in England and Wales at lowest level for nearly 50 years Is the UK on the cusp of a productivity revival? China rolls out the red carpet for Keir Starmer Starmer tells Xi UK wants more ‘sophisticated’ relationship with China It’s time we had a proper debate about funding university education The prisoner of Downing Street Police arrest fifth man over fires at properties linked to Starmer The left-behind economy and what to do about it Why the Tories should move back to the centreThe New York Times
The Tech Arsenal That ICE Has Deployed in Minneapolis 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 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 Apple Reports Record iPhone Sales Amid Holiday Bump Microsoft Continues to Spend Big on A.I. While Profit Jumps 60% Meta Forecasts Spending of at Least $115 Billion This Year Tesla Profit Slumps, but Investors May Not Care With AlphaGenome, Researchers Are Using A.I. to Decode the Human Blueprint Amazon to Cut 16,000 Jobs in Latest Round of Layoffs How Computer Warfare Is Becoming Part of the Pentagon’s Arsenal Microsoft Pledged to Save Water. In the A.I. Era, It Expects Water Use to Soar. Meta Campaigns to Change Opinions on Data Centers TikTok Settles Social Media Addiction Lawsuit Ahead of a Landmark Trial G.M. Shares Rise as Investors Are Encouraged by 2026 Prospects The Social Media Addiction Trials: What to Know Social Media Giants Face Landmark Legal Tests on Child Safety As Tech Chiefs Woo Trump, Silicon Valley Seethes Over Minneapolis Shootings New Videos of the Beckham Feud Are Fake. Nobody Seems to Care. Elon Musk’s X Faces EU Inquiry Over Sexualized AI Images Generated by Grok Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own Yann LeCun, an A.I. Pioneer, Warns the Tech ‘Herd’ Could Hit a Dead End Why the Power May Not Go Out Until After the Storm Has Passed U.S. Automakers’ Foreign Troubles Now Extend to CanadaThe Guardian
More than 200 killed in coltan mine collapse in eastern DRC, officials say Islamic State claims attack on international airport and airbase in Niger South Africa expels top Israeli diplomat over ‘insulting attacks’ on president Niger’s military ruler vows retaliation after gunfire and explosions heard in capital Hundreds feared dead in attempt to cross Mediterranean during cyclone Mexico president says Trump tariffs on Cuba’s oil suppliers could trigger humanitarian crisis Panama supreme court cancels Hong Kong company’s canal contracts Venezuela approves bill to open oil sector to foreign investment after US pressure Weather tracker: Winter storms cause death and outages across eastern north America Trump threatens tariffs on goods from countries that sell oil to Cuba UK politics: Starmer shrugs off Trump’s criticism of ‘very dangerous’ deal with China – as it happened China has lifted sanctions from six serving British MPs and peers, Starmer says Trump says ‘very dangerous’ for UK to do business with China, after Starmer hails progress in Beijing Palau lawmakers vote to block controversial Trump deal to resettle migrants from US Keir Starmer opens door to UK visit by Xi Jinping after bilateral talks Queensland police scrap specialist unit providing support for domestic and family violence cases Australia’s grid now relies on renewable energy as much as coal. Those who doubted it look foolish Day and night, there’s no relief: five ways this heatwave is one of Australia’s worst on record Four people, including two children, found dead in Perth in suspected murder-suicide After feverish speculation, Andrew Hastie failed to mount a Liberal leadership challenge. So what now? New type of Bordeaux wine to gain official status as result of climate pressure Hungary doubles down on opposition to Ukraine’s EU accession as Zelenskyy aims for 2027 – as it happened Zelenskyy cautious on Russian bombing pause during extreme cold weather Trump claims Putin agreed to halt strikes on Ukraine energy sites amid extreme cold Greenland threats no laughing matter, says mayor after comic’s flag stunt Trump says he believes Iran wants to make deal as he extols size of US ‘armada’ Israel accepts health authorities’ Gaza death toll is broadly accurate, saying 70,000 have died ‘Deeply ideological’: the rationale behind Iran’s insistence on uranium enrichment Syrian government and Kurdish forces reach deal on permanent truce Killing Khamenei? Hitting military sites? It is unclear what a US attack on Iran would achieve | Dan Sabbagh 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 Search for single-tusked elephant after 22 killed in India rampage Russia working to circumvent sanctions to ensure India oil imports continue One in seven food delivery businesses in England are ‘dark kitchens’, study shows Andrew went to intimate dinner with Epstein after his prison release, files suggest Jeffrey Epstein sent money to Mandelson’s husband after prison release, emails suggest Labour accuses Reform candidate of ‘toxic politics’ after Tommy Robinson endorsement Fire near rail line in north London brings travel disruption across England Epstein files updates: survivors say new documents expose victims’ names ‘while men remain protected’ Thousands march in anti-ICE protest in New York City: ‘If it’s them today, it’s us tomorrow’ Senate approves funding deal to rally behind deal struck by Trump and Democrats Atlanta FBI boss reportedly ousted after questioning DoJ’s renewed interest in 2020 election Trump commerce secretary Howard Lutnick arranged to visit Epstein island, files showHacker News
175K+ publicly-exposed Ollama AI instances discovered The $100B Megadeal Between OpenAI and Nvidia Is on Ice Show HN: I built an AI conversation partner to practice speaking languages I trapped an AI model inside an art installation (2025) [video] P vs. NP and the Difficulty of Computation: A ruliological approach Peerweb: Decentralized website hosting via WebTorrent Silver plunges 30% in worst day since 1980, gold tumbles Antirender: remove the glossy shine on architectural renderings Kimi K2.5 Technical Report [pdf] Ask HN: Do you also "hoard" notes/links but struggle to turn them into actions? Self Driving Car Insurance Buttered Crumpet, a custom typeface for Wallace and Gromit Show HN: Amla Sandbox – WASM bash shell sandbox for AI agents HTTP Cats Deterministic Governance: mechanical exclusion / bit-identical Pangolin (YC S25) is hiring software engineers (open-source, Go, networking) Code is cheap. Show me the talk Email experiments: filtering out external images BoldVoice (YC S21) Is Hiring Fullstack and Machine Learning Engineers Surely the crash of the US economy has to be soonArxiv astro-ph.HE
Constraining high-energy neutrinos from tidal disruption events with IceCube high-energy starting events Turbulent Dynamo Action in Binary Neutron Star Mergers Early results in the search for extreme coronal line emitters with the Dark Energy Spectroscopic Instrument Proposal to Search for the CP Violating Electromagnetic Vacuum Angle at the Event Horizon Telescope Towards precision astrometry of scattered images of compact radio sources: scintillometry theory and prospects NOCTURNE. I. The radio spectrum of narrow-line Seyfert 1 galaxies Data-Driven Generation of Neutron Star Equations of State Using Variational Autoencoders TeV Gamma-Rays from the Low-Luminosity Active Galactic Nucleus NGC 4278: Implications for the Diffuse Neutrino Background Compton hump reverberation lag in the bright Seyfert 1 galaxy IC 4329A with NuSTAR Investigating the emission signatures of pulsar halo candidate HESS J1813-126 Pulse-resolved Classification and Characteristics of Long-duration GRBs with \emph{Swift}-BAT Data.I. Precursors versus Main Bursts Late-time X-ray afterglows of GRBs: Implications for particle acceleration at relativistic shocks Extreme-Value Distribution Analysis of the Second CHIME/FRB Catalog: Assessing the Rarity of the One-off FRB 20250316A Spectroscopic Variability of the Broad H$\beta$ Emission Line in Sloan Digital Sky Survey Quasars Constraining Black Hole Parameters from Shadow and Inner-Shadow Morphology Considering Effects from Thick Disk Accretion Flows Little Red Dot $-$ Host Galaxy $=$ Black Hole Star: A Gas-Enshrouded Heart at the Center of Every Little Red Dot How supermassive black holes shape central entropies in galaxy clusters Anomalous narrow line Seyfert I galaxies from SDSS DR17 Rethinking Resonance Detectability during Binary Neutron Star Inspiral: Accurate Mismatch Computations for Low-lying Dynamical Tides Discovery of a compact hierarchical triple main-sequence star system while searching for binary stars with compact objects Exact analytic rotating black-hole solutions with primary hair Cross-correlating galaxies and cosmic dispersion measures: Constraints on the gas-to-halo mass relation from 2MASS galaxies and 133 localized fast radio bursts Leveraging rapid parameter estimates for efficient gravitational-wave Bayesian inference via posterior repartitioning Compact Stars Sourced by Perfect Fluid Dark Matter Halos $f$-Mode oscillations and the gravitational response of compact stars with analytic equations of state Optimal cross-correlation technique to search for strongly lensed gravitational waves A neutrino flare candidate potentially associated with X-ray emission from tidal disruption event ATLAS17jrp Convective stability analysis of massive neutron stars formed in binary mergers Nonradial oscillations of stratified neutron stars with solid crusts: Mode characterization and tidal resonances in coalescing binaries Deep Search for Joint Sources of Gravitational Waves and High-Energy Neutrinos with IceCube During the Third Observing Run of LIGO and Virgo Mathematical Anatomy of Neutrino Decoherence in Red Turbulence: A Fractional Calculus Approach Mapping the narrow-line Seyfert 1 galaxy 1H 0323+342 Neutrino Oscillations as a Probe of Macrorealism Linear analysis of I-C-Love universal relations for neutron stars Evidence for the dynamical dark energy with evolving Hubble constant A persistent bow shock in a diskless magnetised accreting white dwarfArxiv cs.LG
Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization Finetune-Informed Pretraining Boosts Downstream Performance A generative machine learning model for designing metal hydrides applied to hydrogen storage Is Parameter Isolation Better for Prompt-Based Continual Learning? Faster Predictive Coding Networks via Better Initialization TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges Noninvasive Intracranial Pressure Estimation Using Subspace System Identification and Bespoke Machine Learning Algorithms: A Learning-to-Rank Approach A Theory of Universal Agnostic Learning Monotone Optimisation with Learned Projections Distributional Active Inference Pre-trained Encoders for Global Child Development: Transfer Learning Enables Deployment in Data-Scarce Settings Top-k on a Budget: Adaptive Ranking with Weak and Strong Oracles The Depth Delusion: Why Transformers Should Be Wider, Not Deeper MADE: Benchmark Environments for Closed-Loop Materials Discovery Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference Conditional Denoising Model as a Physical Surrogate Model SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning Test-Time Adaptation for Unsupervised Combinatorial Optimization SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection Snowball: A Scalable All-to-All Ising Machine with Dual-Mode Markov Chain Monte Carlo Spin Selection and Asynchronous Spin Updates for Fast Combinatorial Optimization Human-LLM Collaborative Feature Engineering for Tabular Data Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks Textual Equilibrium Propagation for Deep Compound AI Systems Out-of-Distribution Generalization in Graph Foundation Models LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection MapPFN: Learning Causal Perturbation Maps in Context Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement Can Neural Networks Learn Small Algebraic Worlds? An Investigation Into the Group-theoretic Structures Learned By Narrow Models Trained To Predict Group Operations Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components Efficient Simple Regret Algorithms for Stochastic Contextual Bandits The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onset AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection Breaking the Reasoning Horizon in Entity Alignment Foundation Models Flow Perturbation++: Multi-Step Unbiased Jacobian Estimation for High-Dimensional Boltzmann Sampling Rethinking Refinement: Correcting Generative Bias without Noise Injection Rethinking Self-Training Based Cross-Subject Domain Adaptation for SSVEP Classification A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding Soft Quantization: Model Compression Via Weight Coupling PHDME: Physics-Informed Diffusion Models without Explicit Governing Equations Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences Model-Free Neural State Estimation in Nonlinear Dynamical Systems: A Comparative Study of Neural Architectures and Classical Filters EGAM: Extended Graph Attention Model for Solving Routing Problems DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher PILD: Physics-Informed Learning via Diffusion Zenith: Scaling up Ranking Models for Billion-scale Livestreaming Recommendation TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning Missing-Data-Induced Phase Transitions in Spectral PLS for Multimodal Learning Grounding and Enhancing Informativeness and Utility in Dataset Distillation Achieving $\varepsilon^{-2}$ Dependence for Average-Reward Q-Learning with a New Contraction Principle The Surprising Difficulty of Search in Model-Based Reinforcement Learning Transferable Graph Condensation from the Causal Perspective Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer An introductory Generalization of the standard SVMs loss and its applications to Shallow and Deep Neural Networks Memorization Control in Diffusion Models from Denoising-centric Perspective L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts Factored Causal Representation Learning for Robust Reward Modeling in RLHF Theoretically Optimal Attention/FFN Ratios in Disaggregated LLM Serving Expected Improvement via Gradient Norms Graph-Free Root Cause Analysis Perceptrons and localization of attention's mean-field landscape Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach DA-SPS: A Dual-stage Network based on Singular Spectrum Analysis, Patching-strategy and Spearman-correlation for Multivariate Time-series Prediction Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting Learning to Optimize Job Shop Scheduling Under Structural Uncertainty Intrinsic Reward Policy Optimization for Sparse-Reward Environments Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning Revisiting Diffusion Model Predictions Through Dimensionality ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation Lossy Common Information in a Learnable Gray-Wyner Network From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning Accurate Network Traffic Matrix Prediction via LEAD: an LLM-Enhanced Adapter-Based Conditional Diffusion Model Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing L$^3$: Large Lookup Layers Partial Feedback Online Learning A block-coordinate descent framework for non-convex composite optimization. Application to sparse precision matrix estimation PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization Best Arm Identification with LLM Judges and Limited Human ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment Task-Awareness Improves LLM Generations and Uncertainty Cascaded Transfer: Learning Many Tasks under Budget Constraints A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning Fast and Geometrically Grounded Lorentz Neural Networks Multi-Modal Time Series Prediction via Mixture of Modulated Experts HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification Representation Unlearning: Forgetting through Information Compression FlexCausal: Flexible Causal Disentanglement via Structural Flow Priors and Manifold-Aware Interventions Bridging Functional and Representational Similarity via Usable Information Shaping capabilities with token-level data filtering Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks Learning the Mechanism of Catastrophic Forgetting: A Perspective from Gradient Similarity Evaluating Prediction Uncertainty Estimates from BatchEnsemble CORDS: Continuous Representations of Discrete Structures Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Dynamics Reveals Structure: Challenging the Linear Propagation Assumption Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification Breaking the Overscaling Curse: Thinking Parallelism Before Parallel Thinking LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models Training Memory in Deep Neural Networks: Mechanisms, Evidence, and Measurement Gaps HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation Generative Design of Ship Propellers using Conditional Flow Matching Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers Identifiable Equivariant Networks are Layerwise Equivariant SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning Gauge-invariant representation holonomy TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling LLM4Fluid: Large Language Models as Generalizable Neural Solvers for Fluid Dynamics Can Local Learning Match Self-Supervised Backpropagation? Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics Beyond Forgetting: Machine Unlearning Elicits Controllable Side Behaviors and Capabilities SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models When does predictive inverse dynamics outperform behavior cloning? LoRA and Privacy: When Random Projections Help (and When They Don't) Amortized Spectral Kernel Discovery via Prior-Data Fitted Network Mixed-Precision Training and Compilation for RRAM-based Computing-in-Memory Accelerators Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle Temporal Sepsis Modeling: a Fully Interpretable Relational Way FISMO: Fisher-Structured Momentum-Orthogonalized Optimizer Differentiable Knapsack and Top-k Operators via Dynamic Programming Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence ECSEL: Explainable Classification via Signomial Equation Learning NetMamba+: A Framework of Pre-trained Models for Efficient and Accurate Network Traffic Classification Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models Effective LoRA Adapter Routing using Task Representations Nonparametric LLM Evaluation from Preference Data DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training Goal-Driven Adaptive Sampling Strategies for Machine Learning Models Predicting Fields Scalable Linearized Laplace Approximation via Surrogate Neural Kernel Constrained Meta Reinforcement Learning with Provable Test-Time Safety READY: Reward Discovery for Meta-Black-Box Optimization Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions Managing Solution Stability in Decision-Focused Learning with Cost Regularization Not All Code Is Equal: A Data-Centric Study of Code Complexity and LLM Reasoning A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting Hardware-Triggered Backdoors Optimistic Transfer under Task Shift via Bellman Alignment LoRIF: Low-Rank Influence Functions for Scalable Training Data Attribution Robust Multimodal Representation Learning in Healthcare Entropy-Based Dimension-Free Convergence and Loss-Adaptive Schedules for Diffusion Models Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models Dependence of Equilibrium Propagation Training Success on Network Architecture Embracing Aleatoric Uncertainty in Medical Multimodal Learning with Missing Modalities Uncertainty-Aware Data-Based Method for Fast and Reliable Shape Optimization From Tokens to Blocks: A Block-Diffusion Perspective on Molecular Generation Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning Investigation into using stochastic embedding representations for evaluating the trustworthiness of the Fr\'{e}chet Inception Distance Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks PowerGenie: Analytically-Guided Evolutionary Discovery of Superior Reconfigurable Power Converters Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields Generalized Information Gathering Under Dynamics Uncertainty Geometry of Drifting MDPs with Path-Integral Stability Certificates Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains Rate-Distortion Optimization for Transformer Inference Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability TBDFiltering: Sample-Efficient Tree-Based Data Filtering Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning From Logits to Latents: Contrastive Representation Shaping for LLM Unlearning The Ensemble Inverse Problem: Applications and Methods Per-parameter Task Arithmetic for Unlearning in Large Language Models Holographic generative flows with AdS/CFT Cross-Fusion Distance: A Novel Metric for Measuring Fusion and Separability Between Data Groups in Representation Space Making Foundation Models Probabilistic via Singular Value Ensembles Where Do the Joules Go? Diagnosing Inference Energy Consumption Latent Adversarial Regularization for Offline Preference Optimization GeoNorm: Unify Pre-Norm and Post-Norm with Geodesic Optimization Boosting CVaR Policy Optimization with Quantile Gradients Prior-Informed Flow Matching for Graph Reconstruction Value-Based Pre-Training with Downstream Feedback Physics Informed Reconstruction of Four-Dimensional Atmospheric Wind Fields Using Multi-UAS Swarm Observations in a Synthetic Turbulent Environment Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization Pay for Hints, Not Answers: LLM Shepherding for Cost-Efficient Inference StepShield: When, Not Whether to Intervene on Rogue Agents PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing Discovering Hidden Gems in Model Repositories STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network Analyzing the Temporal Factors for Anxiety and Depression Symptoms with the Rashomon Perspective Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI VoxMorph: Scalable Zero-shot Voice Identity Morphing via Disentangled Embeddings IDE-Bench: Evaluating Large Language Models as IDE Agents on Real-World Software Engineering Tasks Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection Text-only adaptation in LLM-based ASR through text denoising ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Improves Cardiac Disease Classification and Phenotype Prediction Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing Leveraging Generative AI for Enhancing Domain-Driven Software Design Parametric Quantum State Tomography with HyperRBMs The augmented NLP bound for maximum-entropy remote sampling Efficient Causal Structure Learning via Modular Subgraph Integration Towards regularized learning from functional data with covariate shift A Diffusive Classification Loss for Learning Energy-based Generative Models Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report Better without U: Impact of Selective Hubbard U Correction on Foundational MLIPs Parametric Hyperbolic Conservation Laws: A Unified Framework for Conservation, Entropy Stability, and Hyperbolicity An efficient, accurate, and interpretable machine learning method for computing probability of failure High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance Thompson sampling: Precise arm-pull dynamics and adaptive inference A new strategy for finite-sample valid prediction of future insurance claims in the regression setting FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision-Language Models ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling Provably Reliable Classifier Guidance through Cross-entropy Error Control Scaling Embeddings Outperforms Scaling Experts in Language Models Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression Data-Driven Generation of Neutron Star Equations of State Using Variational Autoencoders Quantifying Noise in Language Generation Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach Position: Certifiable State Integrity in Cyber-Physical Systems -- Why Modular Sovereignty Solves the Plasticity-Stability Paradox Hypersolid: Emergent Vision Representations via Short-Range Repulsion Music Plagiarism Detection: Problem Formulation and a Segment-based Solution GeoRC: A Benchmark for Geolocation Reasoning Chains Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination Self-Improving Pretraining: using post-trained models to pretrain better models The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation Hebbian Learning with Global Direction Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation Statsformer: Validated Ensemble Learning with LLM-Derived Semantic Priors Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better Task-free Adaptive Meta Black-box Optimization Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions Manifold constrained steepest descent MAR: Efficient Large Language Models via Module-aware Architecture Refinement KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves Age Matters: Analyzing Age-Related Discussions in App Reviews Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes ILRR: Inference-Time Steering Method for Masked Diffusion Language Models When Gradient Optimization Is Not Enough: $\dagger$ Dispersive and Anchoring Geometric Regularizer for Multimodal Learning FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning Do Not Waste Your Rollouts: Recycling Search Experience for Efficient Test-Time Scaling Procedural Pretraining: Warming Up Language Models with Abstract Data Error Amplification Limits ANN-to-SNN Conversion in Continuous Control A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth Generative Modeling of Discrete Data Using Geometric Latent Subspaces Test-Time Compute Games LEMUR: Learned Multi-Vector Retrieval On Forgetting and Stability of Score-based Generative models How Expressive Are Graph Neural Networks in the Presence of Node Identifiers? VSE: Variational state estimation of complex model-free process On Approximate Computation of Critical Points Clustering in Deep Stochastic Transformers Diffusion Path Samplers via Sequential Monte Carlo Near-Optimal Private Tests for Simple and MLR Hypotheses MoE-ACT: Improving Surgical Imitation Learning Policies through Supervised Mixture-of-Experts Batched First-Order Methods for Parallel LP Solving in MIP Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units Efficient Stochastic Optimisation via Sequential Monte Carlo MEIDNet: Multimodal generative AI framework for inverse materials design Optimizing Agentic Workflows using Meta-tools A Separable Architecture for Continuous Token Representation in Language Models Learning to Communicate Across Modalities: Perceptual Heterogeneity in Multi-Agent Systems ECO: Quantized Training without Full-Precision Master Weights Diverse Approaches to Optimal Execution Schedule Generation Alpha Discovery via Grammar-Guided Learning and Search EditYourself: Audio-Driven Generation and Manipulation of Talking Head Videos with Diffusion Transformers SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts Parametrized Power-Iteration Clustering for Directed Graphs Divergence Results and Convergence of a Variance Reduced Version of ADAM Low-redundancy Distillation for Continual Learning Fair Graph Machine Learning under Adversarial Missingness Processes Universal approximation property of Banach space-valued random feature models including random neural networks Towards Identifiable Latent Additive Noise Models Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining WL Tests Are Far from All We Need: Revisiting WL-Test Hardness and GNN Expressive Power from a Distributed Computation Perspective Understanding Large Language Models in Your Pockets: Performance Study on COTS Mobile Devices SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling Do graph neural network states contain graph properties? Understanding Self-Supervised Learning via Gaussian Mixture Models Non-equilibrium active noise enhances generative memory in diffusion models Neural Window Decoder for SC-LDPC Codes How Many Ratings per Item are Necessary for Reliable Significance Testing? Tight Lower Bounds and Improved Convergence in Performative Prediction RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization An Algorithm for Fixed Budget Best Arm Identification with Combinatorial Exploration CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning One-Shot Federated Learning with Classifier-Free Diffusion Models Neural Force Field: Few-shot Learning of Generalized Physical Reasoning How simple can you go? An off-the-shelf transformer approach to molecular dynamics Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols Plain Transformers Can be Powerful Graph Learners Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks Redefining Neural Operators in $d+1$ Dimensions for Embedding Evolution Metric Graph Kernels via the Tropical Torelli Map A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Representative Action Selection for Large Action Space Bandit Families Learning for Dynamic Combinatorial Optimization without Training Data Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics There Was Never a Bottleneck in Concept Bottleneck Models Near-Optimal Online Deployment and Routing for Streaming LLMs DBellQuant: Breaking the Bell with Double-Bell Transformation for LLMs Post Training Binarization Dealing with Uncertainty in Contextual Anomaly Detection CTRLS: Chain-of-Thought Reasoning via Latent State-Transition SDSC:A Structure-Aware Metric for Semantic Signal Representation Learning Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm A Comprehensive Evaluation on Quantization Techniques for Large Language Models A Trainable Optimizer Stackelberg Coupling of Online Representation Learning and Reinforcement Learning Residual Reservoir Memory Networks Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Robust Filter Attention: Self-Attention as a Parallel State Estimator Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy Understanding Post-Training Structural Changes in Large Language Models MOMEMTO: Patch-based Memory Gate Model in Time Series Foundation Model Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels Deterministic Discrete Denoising Machine Learning. The Science of Selection under Uncertainty Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization Rotary Position Encodings for Graphs JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs Black-Box Combinatorial Optimization with Order-Invariant Reinforcement Learning Fine-Tuning Flow Matching via Maximum Likelihood Estimation of Reconstructions DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering Geodesic Calculus on Implicitly Defined Latent Manifolds Efficient Test-Time Adaptation through Latent Subspace Coefficients Search Neural Weight Compression for Language Models Policy Learning with Abstention Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination On Uncertainty Calibration for Equivariant Functions IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning $\pi_\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models A Likely Geometry of Generative Models Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training Graph Homomorphism Distortion: A Metric to Distinguish Them All and in the Latent Space Bind Them The Illusion of Certainty: Uncertainty Quantification for LLMs Fails under Ambiguity Physics-Informed Neural Networks for Real-Time Gas Crossover Prediction in PEM Electrolyzers: First Application with Multi-Membrane Validation SiDGen: Structure-informed Diffusion for Generative modeling of Ligands for Proteins QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery A Comparative Study on How Data Normalization Affects Zero-Shot Generalization in Time Series Foundation Models Fairy2i: Training Complex LLMs from Real LLMs with All Parameters in $\{\pm 1, \pm i\}$ Pushing the Limits of Distillation-Based Class-Incremental Learning via Lightweight Plugins Learning to Orchestrate Agents in Natural Language with the Conductor A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation Let the Optimizers Optimize Themselves Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems Corrective Diffusion Language Models Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic Perspective GLUE: Gradient-free Learning to Unify Experts EEG-based Graph-guided Domain Adaptation for Robust Cross-Session Emotion Recognition The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations Reward-Preserving Attacks For Robust Reinforcement Learning Kernel Alignment-based Multi-view Unsupervised Feature Selection with Sample-level Adaptive Graph Learning d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation PROMA: Projected Microbatch Accumulation for Reference-Free Proximal Policy Updates SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clients Low-Rank Key Value Attention Trainability-Oriented Hybrid Quantum Regression via Geometric Preconditioning and Curriculum Optimization Factorizable joint shift revisited Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control Speed is Confidence TinyTorch: Building Machine Learning Systems from First Principles Native LLM and MLLM Inference at Scale on Apple Silicon Real-Time Pulsatile Flow Prediction for Realistic, Diverse Intracranial Aneurysm Morphologies using a Graph Transformer and Steady-Flow Data Augmentation Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers Scaling Next-Brain-Token Prediction for MEG NeuraLSP: An Efficient and Rigorous Neural Left Singular Subspace Preconditioner for Conjugate Gradient Methods Causal-Driven Feature Evaluation for Cross-Domain Image Classification C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs Continual GUI Agents $\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval Machine learning for option pricing: an empirical investigation of network architectures Scaling Laws for Downstream Task Performance of Large Language Models An explainable vision transformer with transfer learning based efficient drought stress identification OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions CMOOD: Concept-based Multi-label OOD Detection GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification Data-Driven Probabilistic Air-Sea Flux Parameterization Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making Correcting for Position Bias in Learning to Rank: A Control Function Approach POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation A conversational gesture synthesis system based on emotions and semantics FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes The neural networks with tensor weights and emergent fermionic Wick rules in the large-width limit False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior Optimal differentially private kernel learning with random projection EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing Improving the Accuracy of Amortized Model Comparison with Self-Consistency Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Stochastic Matching Bandits with Rare Optimization Updates High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance MORPH: PDE Foundation Models with Arbitrary Data Modality A Formal Comparison Between Chain of Thought and Latent Thought Entropy Guided Dynamic Patch Segmentation for Time Series Transformers On the Adversarial Robustness of Learning-based Conformal Novelty Detection Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models Repairing Reward Functions with Feedback to Mitigate Reward Hacking NOSA: Native and Offloadable Sparse Attention RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics Online Bayesian Experimental Design for Partially Observed Dynamical Systems A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Language Generation: Complexity Barriers and Implications for Learning SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment A Set of Rules for Model Validation Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models Diffusion differentiable resampling Do Foundational Audio Encoders Understand Music Structure? Diffusion Models in Simulation-Based Inference: A Tutorial Review LLM Personas as a Substitute for Field Experiments in Method Benchmarking Memento 2: Learning by Stateful Reflective Memory From Mice to Trains: Amortized Bayesian Inference on Graph Data Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays A Backpropagation-Free Feedback-Hebbian Network for Continual Learning Dynamics PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models Actionable Interpretability Must Be Defined in Terms of Symmetries Graph Neural Networks are Heuristics Efficient Learning of Stationary Diffusions with Stein-type Discrepancies Differentiable Integer Linear Programming is not Differentiable & it's not a mere technical problem Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems Model-Free Output Feedback Stabilization via Policy Gradient Methods Improved Convergence Rates of Muon Optimizer for Nonconvex Optimization GAVEL: Towards rule-based safety through activation monitoring MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization Efficient Evaluation of LLM Performance with Statistical Guarantees Convergence Analysis of Randomized Subspace Normalized SGD under Heavy-Tailed Noise Leveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical EvidenceArxiv cs.AI
Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review The Epistemic Planning Domain Definition Language: Official Guideline Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective QUARK: Robust Retrieval under Non-Faithful Queries via Query-Anchored Aggregation Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report Multi-modal Imputation for Alzheimer's Disease Classification OpenSec: Measuring Incident Response Agent Calibration Under Adversarial Evidence Responsible AI: The Good, The Bad, The AI Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve How does information access affect LLM monitors' ability to detect sabotage? Planner-Auditor Twin: Agentic Discharge Planning with FHIR-Based LLM Planning, Guideline Recall, Optional Caching and Self-Improvement CUA-Skill: Develop Skills for Computer Using Agent Beyond a Single Reference: Training and Evaluation with Paraphrases in Sign Language Translation What You Feel Is Not What They See: On Predicting Self-Reported Emotion from Third-Party Observer Labels BrainStack: Neuro-MoE with Functionally Guided Expert Routing for EEG-Based Language Decoding Bridging the Arithmetic Gap: The Cognitive Complexity Benchmark and Financial-PoT for Robust Financial Reasoning Concise Geometric Description as a Bridge: Unleashing the Potential of LLM for Plane Geometry Problem Solving FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models Do Reasoning Models Enhance Embedding Models? When should I search more: Adaptive Complex Query Optimization with Reinforcement Learning Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning Causal Discovery for Explainable AI: A Dual-Encoding Approach Delegation Without Living Governance Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design Position: Certifiable State Integrity in Cyber-Physical Systems -- Why Modular Sovereignty Solves the Plasticity-Stability Paradox Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving White-Box Op-Amp Design via Human-Mimicking Reasoning Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation Ostrakon-VL: Towards Domain-Expert MLLM for Food-Service and Retail Stores Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanisms BEAP-Agent: Backtrackable Execution and Adaptive Planning for GUI Agents Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization Hebbian Learning with Global Direction NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents TeachBench: A Syllabus-Grounded Framework for Evaluating Teaching Ability in Large Language Models DataCross: A Unified Benchmark and Agent Framework for Cross-Modal Heterogeneous Data Analysis System 1&2 Synergy via Dynamic Model Interpolation When Prohibitions Become Permissions: Auditing Negation Sensitivity in Language Models The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning Topeax -- An Improved Clustering Topic Model with Density Peak Detection and Lexical-Semantic Term Importance MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management The Path of Least Resistance: Guiding LLM Reasining Trajectories with Prefix Consensus MAR: Efficient Large Language Models via Module-aware Architecture Refinement The Effectiveness of Style Vectors for Steering Large Language Models: A Human Evaluation LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization ARGORA: Orchestrated Argumentation for Causally Grounded LLM Reasoning and Decision Making ShardMemo: Masked MoE Routing for Sharded Agentic LLM Memory Meta Context Engineering via Agentic Skill Evolution EmboCoach-Bench: Benchmarking AI Agents on Developing Embodied Robots Chain Of Thought Compression: A Theoritical Analysis Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves Beyond Imitation: Reinforcement Learning for Active Latent Planning CORE: Collaborative Reasoning via Cross Teaching Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems Semantic Content Determines Algorithmic Performance ScholarGym: Benchmarking Deep Research Workflows on Academic Literature Retrieval SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning FBS: Modeling Native Parallel Reading inside a Transformer E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems Language-based Trial and Error Falls Behind in the Era of Experience Zero-Shot Statistical Downscaling via Diffusion Posterior Sampling Abstract Concept Modelling in Conceptual Spaces: A Study on Chess Strategies BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics A Unified XAI-LLM Approach for EndotrachealSuctioning Activity Recognition CORE:Toward Ubiquitous 6G Intelligence Through Collaborative Orchestration of Large Language Model Agents Over Hierarchical Edge Looking Beyond Accuracy: A Holistic Benchmark of ECG Foundation Models Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework KnowBias: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents astra-langchain4j: Experiences Combining LLMs and Agent Programming Making Models Unmergeable via Scaling-Sensitive Loss Landscape From Meta-Thought to Execution: Cognitively Aligned Post-Training for Generalizable and Reliable LLM Reasoning ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning AgenticSimLaw: A Juvenile Courtroom Multi-Agent Debate Simulation for Explainable High-Stakes Tabular Decision Making Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors The Energy Impact of Domain Model Design in Classical Planning Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models VERSA: Verified Event Data Format for Reliable Soccer Analytics Liquid Interfaces: A Dynamic Ontology for the Interoperability of Autonomous Systems Heterogeneous Computing: The Key to Powering the Future of AI Agent Inference CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty Optimizing Agentic Workflows using Meta-tools Defining Operational Conditions for Safety-Critical AI-Based Systems from Data The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR World of Workflows: a Benchmark for Bringing World Models to Enterprise Systems Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data Exploring Reasoning Reward Model for Agents Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials LSR-Net: A Lightweight and Strong Robustness Network for Bearing Fault Diagnosis in Noise Environment Generalizable Prompt Tuning for Audio-Language Models via Semantic Expansion Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization Integrating Color Histogram Analysis and Convolutional Neural Network for Skin Lesion Classification STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle Finetune-Informed Pretraining Boosts Downstream Performance ICON: Intent-Context Coupling for Efficient Multi-Turn Jailbreak Attack Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges The Depth Delusion: Why Transformers Should Be Wider, Not Deeper UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research Conditional Denoising Model as a Physical Surrogate Model "Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning Log2Motion: Biomechanical Motion Synthesis from Touch Logs SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection Textual Equilibrium Propagation for Deep Compound AI Systems Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection Topologies Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation Multi-task Code LLMs: Data Mix or Model Merge? AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs Optimization and Mobile Deployment for Anthropocene Neural Style Transfer Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement Can Neural Networks Learn Small Algebraic Worlds? An Investigation Into the Group-theoretic Structures Learned By Narrow Models Trained To Predict Group Operations A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection Rethinking Refinement: Correcting Generative Bias without Noise Injection Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks From Linear Input to Hierarchical Structure: Function Words as Statistical Cues for Language Learning ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling Thinker: A vision-language foundation model for embodied intelligence Scaling Embeddings Outperforms Scaling Experts in Language Models A Sheaf-Theoretic and Topological Perspective on Complex Network Modeling and Attention Mechanisms in Graph Neural Models Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences Hypersolid: Emergent Vision Representations via Short-Range Repulsion Music Plagiarism Detection: Problem Formulation and a Segment-based Solution Lightweight High-Fidelity Low-Bitrate Talking Face Compression for 3D Video Conference More Code, Less Reuse: Investigating Code Quality and Reviewer Sentiment towards AI-generated Pull Requests GeoRC: A Benchmark for Geolocation Reasoning Chains NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher PILD: Physics-Informed Learning via Diffusion Zenith: Scaling up Ranking Models for Billion-scale Livestreaming Recommendation Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning Grounding and Enhancing Informativeness and Utility in Dataset Distillation The Surprising Difficulty of Search in Model-Based Reinforcement Learning Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach Adversarial Vulnerability Transcends Computational Paradigms: Feature Engineering Provides No Defense Against Neural Adversarial Transfer Self-Improving Pretraining: using post-trained models to pretrain better models Memorization Control in Diffusion Models from Denoising-centric Perspective L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts Theoretically Optimal Attention/FFN Ratios in Disaggregated LLM Serving The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting Understanding Frechet Speech Distance for Synthetic Speech Quality Evaluation Intrinsic Reward Policy Optimization for Sparse-Reward Environments Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning Spava: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing L$^3$: Large Lookup Layers Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation Adaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code Generation Task-free Adaptive Meta Black-box Optimization Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions SimGraph: A Unified Framework for Scene Graph-Based Image Generation and Editing More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Sustainable Materials Discovery in the Era of Artificial Intelligence On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression Bi-Anchor Interpolation Solver for Accelerating Generative Modeling Multi-Modal Time Series Prediction via Mixture of Modulated Experts Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification Shaping capabilities with token-level data filtering Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Dynamics Reveals Structure: Challenging the Linear Propagation Assumption Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance Representation-Regularized Convolutional Audio Transformer for Audio Understanding Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification Breaking the Overscaling Curse: Thinking Parallelism Before Parallel Thinking HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers ILRR: Inference-Time Steering Method for Masked Diffusion Language Models SWE-Spot: Building Small Repo-Experts with Repository-Centric Learning When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption Gauge-invariant representation holonomy SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning TACLer: Tailored Curriculum Reinforcement Learning for Efficient Reasoning Disentangling perception and reasoning for improving data efficiency in learning cloth manipulation without demonstrations DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning When does predictive inverse dynamics outperform behavior cloning? Enhancing Language Models for Robust Greenwashing Detection From Global to Granular: Revealing IQA Model Performance via Correlation Surface Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle Temporal Sepsis Modeling: a Fully Interpretable Relational Way EWSJF: An Adaptive Scheduler with Hybrid Partitioning for Mixed-Workload LLM Inference CoFrGeNet: Continued Fraction Architectures for Language Generation Synthetic-to-Real Domain Bridging for Single-View 3D Reconstruction of Ships for Maritime Monitoring Assessing the Business Process Modeling Competences of Large Language Models ECSEL: Explainable Classification via Signomial Equation Learning Effective LoRA Adapter Routing using Task Representations KID: Knowledge-Injected Dual-Head Learning for Knowledge-Grounded Harmful Meme Detection A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting Moral Outrage Shapes Commitments Beyond Attention: Multimodal Moral Emotions on YouTube in Korea and the US Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions Test-Time Compute Games MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts Improving Classifier-Free Guidance of Flow Matching via Manifold Projection Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text TraceRouter: Robust Safety for Large Foundation Models via Path-Level Intervention From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction Robust Multimodal Representation Learning in Healthcare Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding MoE-ACT: Improving Surgical Imitation Learning Policies through Supervised Mixture-of-Experts From Particles to Agents: Hallucination as a Metric for Cognitive Friction in Spatial Simulation Generalized Information Gathering Under Dynamics Uncertainty Geometry of Drifting MDPs with Path-Integral Stability Certificates Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units MEIDNet: Multimodal generative AI framework for inverse materials design Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks When "Better" Prompts Hurt: Evaluation-Driven Iteration for LLM Applications Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models A Separable Architecture for Continuous Token Representation in Language Models Learning to Communicate Across Modalities: Perceptual Heterogeneity in Multi-Agent Systems SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models Latent Adversarial Regularization for Offline Preference Optimization Investigating Associational Biases in Inter-Model Communication of Large Generative Models ECO: Quantized Training without Full-Precision Master Weights Value-Based Pre-Training with Downstream Feedback SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence Alpha Discovery via Grammar-Guided Learning and Search SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents StepShield: When, Not Whether to Intervene on Rogue Agents PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers DynaWeb: Model-Based Reinforcement Learning of Web Agents Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts RedSage: A Cybersecurity Generalist LLM CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Reputation as a Solution to Cooperation Collapse in LLM-based MASs Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics Position: Agent Should Invoke External Tools ONLY When Epistemically Necessary WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making EndoAgent: A Memory-Guided Reflective Agent for Intelligent Endoscopic Vision-to-Decision Reasoning GenOM: Ontology Matching with Description Generation and Large Language Model Virtuous Machines: Towards Artificial General Science What Would an LLM Do? Evaluating Large Language Models for Policymaking to Alleviate Homelessness Prompts to Proxies: Emulating Human Preferences via a Compact LLM Ensemble DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning SafeSearch: Automated Red-Teaming of LLM-Based Search Agents Neural network embeddings recover value dimensions from psychometric survey items on par with human data A Formal Comparison Between Chain of Thought and Latent Thought Dr. Bench: A Multidimensional Evaluation for Deep Research Agents, from Answers to Reports Repairing Reward Functions with Feedback to Mitigate Reward Hacking Closing the Expression Gap in LLM Instructions via Socratic Questioning SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization Two Heads are Better than One: Distilling Large Language Model Features Into Small Models with Feature Decomposition and Mixture Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivity State-Augmented Graphs for Circular Economy Triage TimeSeries2Report prompting enables adaptive large language model management of lithium-ion batteries LLM Personas as a Substitute for Field Experiments in Method Benchmarking Memento 2: Learning by Stateful Reflective Memory SimpleMem: Efficient Lifelong Memory for LLM Agents Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning Actionable Interpretability Must Be Defined in Terms of Symmetries Graph Neural Networks are Heuristics MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems GAVEL: Towards rule-based safety through activation monitoring Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control Normative Equivalence in Human-AI Cooperation: Behaviour, Not Identity, Drives Cooperation in Mixed-Agent Groups PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs Low-redundancy Distillation for Continual Learning When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings An explainable vision transformer with transfer learning based efficient drought stress identification One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining WL Tests Are Far from All We Need: Revisiting WL-Test Hardness and GNN Expressive Power from a Distributed Computation Perspective OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling Do graph neural network states contain graph properties? Minion: A Technology Probe to Explore How Users Negotiate Harmful Value Conflicts with AI Companions CMOOD: Concept-based Multi-label OOD Detection Tight Lower Bounds and Improved Convergence in Performative Prediction ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization STEMS: Spatial-Temporal Mapping For Spiking Neural Networks Can Large Language Models Capture Video Game Engagement? Neural Force Field: Few-shot Learning of Generalized Physical Reasoning Optimizing Multi-Hop Document Retrieval Through Intermediate Representations Industrial Internet Robot Collaboration System and Edge Computing Optimization Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension Redefining Neural Operators in $d+1$ Dimensions for Embedding Evolution Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality Probing Neural Topology of Large Language Models scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser Near-Optimal Online Deployment and Routing for Streaming LLMs Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed Dealing with Uncertainty in Contextual Anomaly Detection False Alarms, Real Damage: Adversarial Attacks Using LLM-based Models on Text-based Cyber Threat Intelligence Systems OrthoInsight: Rib Fracture Diagnosis and Report Generation Based on Multi-Modal Large Models SDSC:A Structure-Aware Metric for Semantic Signal Representation Learning Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-Experts EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing Stackelberg Coupling of Online Representation Learning and Reinforcement Learning Residual Reservoir Memory Networks Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance "Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness End-to-end audio-visual learning for cochlear implant sound coding simulations in noisy environments Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Robust Filter Attention: Self-Attention as a Parallel State Estimator Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy Large Vision Models Can Solve Mental Rotation Problems Understanding Post-Training Structural Changes in Large Language Models No Verifiable Reward for Prosody: Toward Preference-Guided Prosody Learning in TTS When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning MORPH: PDE Foundation Models with Arbitrary Data Modality Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization Rotary Position Encodings for Graphs Learning What To Hear: Boosting Sound-Source Association For Robust Audiovisual Instance Segmentation LLM Watermark Evasion via Bias Inversion On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs Entropy Guided Dynamic Patch Segmentation for Time Series Transformers Dynamic Target Attack Untargeted Jailbreak Attack Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models iPEAR: Iterative Pyramid Estimation with Attention and Residuals for Deformable Medical Image Registration Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models MotionBeat: Motion-Aligned Music Representation via Embodied Contrastive Learning and Bar-Equivariant Contact-Aware Encoding NOSA: Native and Offloadable Sparse Attention Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models Language Generation: Complexity Barriers and Implications for Learning Physics-Informed Neural Networks for Real-Time Gas Crossover Prediction in PEM Electrolyzers: First Application with Multi-Membrane Validation TS-PEFT: Unveiling Token-Level Redundancy in Parameter-Efficient Fine-Tuning Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial Perturbation MOTION: ML-Assisted On-Device Low-Latency Motion Recognition Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models Formal Verification of Noisy Quantum Reinforcement Learning Policies A Comparative Study on How Data Normalization Affects Zero-Shot Generalization in Time Series Foundation Models Fairy2i: Training Complex LLMs from Real LLMs with All Parameters in $\{\pm 1, \pm i\}$ Neural Policy Composition from Free Energy Minimization A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation LLM-based Few-Shot Early Rumor Detection with Imitation Agent Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting Discovering Multi-Scale Semantic Structure in Text Corpora Using Density-Based Trees and LLM Embeddings Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation Scalable Sequential Recommendation under Latency and Memory Constraints The Algorithmic Gaze: An Audit and Ethnography of the LAION-Aesthetics Predictor Model PROMA: Projected Microbatch Accumulation for Reference-Free Proximal Policy Updates Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clients Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models Outcome-Based RL Provably Leads Transformers to Reason, but Only With the Right Data MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction Unheard in the Digital Age: Rethinking AI Bias and Speech Diversity GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control LLMs versus the Halting Problem: Revisiting Program Termination Prediction Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context One Token Is Enough: Improving Diffusion Language Models with a Sink Token Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers NeuraLSP: An Efficient and Rigorous Neural Left Singular Subspace Preconditioner for Conjugate Gradient Methods Causal-Driven Feature Evaluation for Cross-Domain Image Classification MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment $\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval A New Dataset and Framework for Robust Road Surface Classification via Camera-IMU FusionGithub Trending (Python)
Epodonios/v2ray-configs GetStream/Vision-Agents frappe/hrms MoonshotAI/kimi-cli OpenPipe/ART exo-explore/exo kvcache-ai/ktransformers ostris/ai-toolkit huggingface/lerobot Shubhamsaboo/awesome-llm-apps keephq/keep datalab-to/chandra Tencent-Hunyuan/HunyuanImage-3.0 trailofbits/publications PaddlePaddle/PaddleOCR NevaMind-AI/memUGithub Trending (C)
FreeRDP/FreeRDP openssl/openssl tsoding/nob.h ThrowTheSwitch/Unity Klipper3d/klipper valkey-io/valkey xiph/opus Mbed-TLS/mbedtls eclipse-mosquitto/mosquitto DaveGamble/cJSON winsiderss/systeminformer FreeRTOS/FreeRTOS-Kernel nrfconnect/sdk-nrf sonic-net/sonic-buildimage OP-TEE/optee_os openzfs/zfs mattn/go-sqlite3Nature
Publisher Correction: A domed pachycephalosaur from the early Cretaceous of Mongolia Publisher Correction: Nanotyrannus and Tyrannosaurus coexisted at the close of the Cretaceous Largest galaxy survey yet confirms that the Universe is not clumpy enough Briefing Chat: What Brazilian centenarians could reveal about the science of ageing Light-powered bacteria become living chemical factories This robot hand detaches and walks by itself Can academia handle my religious faith? How DeepMind's genome AI could help solve rare disease mysteries China is betting on ‘optical’ computer chips – will they power AI? Author Correction: Hunter-gatherer sea voyages extended to remotest Mediterranean islands Longevity is in the genes: half of lifespan is heritable Genetically engineered ‘stinkweed’ comes up roses for making seed oil Developmental convergence and divergence in human stem cell models of autism Still conscious? Brain marker signals when anaesthesia takes hold ArXiv says submissions must be in English: are AI translators up for the job? This AI has chemical expertise — and helps synthesize 35 new compounds Daily briefing: Brain–immune crosstalk worsens the damage of heart attacks 48 hours without lungs: artificial organ kept man alive until transplant Five ways to make the academic workplace happier and healthier this year Critical social-media posts linked to retractions of scientific papers Preserving the respiratory system How your brain chemistry rewards hard work How much exercise do you really need? Projected impacts of climate change on malaria in Africa Constraints on axion dark matter by distributed intercity quantum sensors Prethermalization by random multipolar driving on a 78-qubit processor Multimodal learning with next-token prediction for large multimodal models Radiation-tolerant atomic-layer-scale RF system for spaceborne communication Accurate determination of the 3D atomic structure of amorphous materials Intestinal macrophages modulate synucleinopathy along the gut–brain axis Cholinergic modulation of dopamine release drives effortful behaviour Optical control of integer and fractional Chern insulators Environmentally driven immune imprinting protects against allergy Population-scale sequencing resolves determinants of persistent EBV DNA Pesticide residues alter taxonomic and functional biodiversity in soils Lasing of a cavity-based X-ray source Bandwidth-tuned Mott transition and superconductivity in moiré WSe2 Human and bacterial genetic variation shape oral microbiomes and health Frequency reproducibility of solid-state thorium-229 nuclear clocks PAF15–PCNA exhaustion governs the strand-specific control of DNA replication A Cambrian soft-bodied biota after the first Phanerozoic mass extinction An X-ray-emitting protocluster at z ≈ 5.7 reveals rapid structure growth Low-power integrated optical amplification through second-harmonic resonance A prophage-encoded abortive infection protein preserves host and prophage spread Robust cytoplasmic partitioning by solving a cytoskeletal instability Advancing regulatory variant effect prediction with AlphaGenome A cavity-array microscope for parallel single-atom interfacing A cross-population compendium of gene–environment interactions Vacuum ultraviolet second-harmonic generation in NH4B4O6F crystal Psychedelics elicit their effects by 5-HT2A receptor-mediated Gi signalling Limit of atomic-resolution-tomography reconstruction of amorphous nanoparticles Optofluidic three-dimensional microfabrication and nanofabrication Ferromagnet-like binary switching of a Stoner–Wohlfarth antiferromagnet The Ocean Equity Index A flexible digital compute-in-memory chip for edge intelligence Optical control over topological Chern number in moiré materials Disentangling multiple gas kinematic drivers in the Perseus galaxy cluster Holistic motor control of zebra finch song syllable sequences A benchmark of expert-level academic questions to assess AI capabilities GlycoRNA complexed with heparan sulfate regulates VEGF-A signalling Pre-assembly of biomolecular condensate seeds drives RSV replication Structures of Ostα/β reveal a unique fold and bile acid transport mechanism Observation of a superfluid-to-insulator transition of bilayer excitons Optical switching of a moiré Chern ferromagnet Vagal blood volume receptors compensate for haemorrhage and posture change Structure and mechanism of the human bile acid transporter OSTα–OSTβ Act now to clean up air Chill out: freezing temperatures produced by letting a stressed alloy relax Deep-sea robots will search for source of mysterious ‘dark oxygen’ Exposome studies can improve lung health AI chatbots are infiltrating social-science surveys — and getting better at avoiding detection A step towards building miniature human livers Scraps of viral DNA in biobank samples reveal secrets of Epstein–Barr virus Alternative explanation for how celestial objects generate large-scale magnetic fields Funding cuts could put research into emerging threats to lung health at riskCNN
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
Judge rules Luigi Mangione should not face death penalty Blue Origin pauses space tourism flights to focus on lunar lander Tim Walz says Trump administration wants to 'twist reality' in Minnesota Lila Iké learned what "self-love" means with her Grammy-nominated album Texas A&M University cancels programs in women's and gender studies How American Katie Uhlaender was denied Olympic bid by Canadian coach's point scheme U.S. ultimatum to vaccine group: No more funds unless you stop using thimerosal Catherine O'Hara, who starred in 'Home Alone' and 'Schitt's Creek,' dies at 71 Unmentioned but present, Trump is a common denominator in Asia-Europe ties Alex Pretti shooting by federal agents in Minneapolis prompts DOJ civil rights probeThe Atlantic
The New Epstein Frenzy ‘She Works on Levels That People Don’t Even Know’ Trump’s Fed-Chair Pick Is an Interest-Rate Hawk—Or Is He? The Case Against Don Lemon Is Junk, and Dangerous ‘It’s a Five-Alarm Fire’ How Minneapolis Looks From the Police Chief’s Squad Car Today’s Atlantic Trivia: Noninterchangeable Parts Meet the New Proud Boys How to Survive the Information War The Writer’s Magic Trick The Melania Trump Documentary Is a Disgrace One of Our Own An Early Test of America’s Control Over Venezuela What Are the Chances Trump Attacks Iran? Photos of the Week: Snowy Dunes, Icy Storm, Crying Horse The Film Students Who Can No Longer Sit Through Films There Is a Word for What Is Happening in Minneapolis T-Maxxing Has Gone Too Far Katie Miller Makes a Classic Error Rise of the Trump Loyalist Tesla Just Killed the Most Important Car of the 21st Century Trump Shrugs Off the Ilhan Omar Attack Another Way to Be an American MAGA’s War on Empathy Rage in the U.S.A.Vox
The Don Lemon indictment, briefly explained America’s culture wars are killing people overseas How the supermarket’s cheapest fish became Gen Z’s latest obsession Democrats’ demands to reform ICE, briefly explained The man Trump is hoping can fix ICE optics in Minneapolis America’s wildfire risk data quietly puts millions of homes in danger Trump looks ready to bomb Iran again. Why? Why Trump is threatening Iran again How to help the resistance to ICE in Minnesota — and beyond Something very unexpected is happening to Norway’s polar bearsAl Jazeera
Is Trump’s choice for US Fed chair a ‘chameleon’ or a ‘solid’ pick? UN nuclear watchdog discusses Ukraine nuclear safety risks What do China and the UK want from each other? Iran says ready for ‘fair’ talks with US but not ‘under shadow of threats’ After Trump call, Russia agrees to pause attacks on Kyiv amid cold spell US protesters begin nationwide strike as DOJ launches Pretti killing probe What’s next for Venezuela? Rafah reopening set for Sunday as Israel continues to block aid ISIL claims responsibility for Niger airport attack Confusion grows over state of US-Iran negotiations Guterres warns UN faces ‘imminent financial collapse’ US Department of Justice releases 3 million new Epstein documents Bombardier stock dives on Trump threats of 50% tariff on Canadian planes US judge rules Luigi Mangione won’t face death penalty in CEO killing case Vonn says Winter Olympics comeback dream ‘not over’ despite injury in crash South Africa orders expulsion of Israeli envoy, declared persona non grata Journalist Don Lemon arrested in connection to Minnesota ICE protest MSF says it will not hand over staff details to Israeli authorities Can Trump’s ‘madman theory’ reshape Iran and the Middle East? Why has Burkina Faso banned political parties, and what’s next? Djokovic beats Sinner as history and Alcaraz await in Australian Open final Trump nominates Kevin Warsh to replace Powell as Fed chair US-Iran tensions: The diplomatic scramble to prevent a war Zverev slams Alcaraz timeout after loss in longest Australian Open semi Ukrainian President Zelenskyy invites Putin to Kyiv for talksArs Technica
How far does $5,000 go when you want an electric car? NASA faces a crucial choice on a Mars spacecraft—and it must decide soon Rocket Report: How a 5-ton satellite fell off a booster; will SpaceX and xAI merge? Inside Nvidia's 10-year effort to make the Shield TV the most updated Android device ever Having that high-deductible health plan might kill you, literally US spy satellite agency declassifies high-flying Cold War listening post People complaining about Windows 11 hasn't stopped it from hitting 1 billion users How often do AI chatbots lead users down a harmful path? Google Project Genie lets you create interactive worlds from a photo or prompt Comcast keeps losing customers despite price guarantee and unlimited data She'll mess with Texas: Nurse keeps mailing abortion pills, despite Paxton lawsuit What ice fishing can teach us about making foraging decisions County pays $600,000 to pentesters it arrested for assessing courthouse security New OpenAI tool renews fears that “AI slop” will overwhelm scientific research Custom machine kept man alive without lungs for 48 hours Does Anthropic believe its AI is conscious, or is that just what it wants Claude to think? Do you have ideas about how to improve America's space program? Tesla kills Models S and X to build humanoid robots instead States want to tax fossil fuel companies to create climate change superfunds Early Universe's supermassive black holes grew in cocoons like butterfliesSlashdot
GNU gettext Reaches Version 1.0 After 30 Years White House Scraps 'Burdensome' Software Security Rules Oracle May Slash Up To 30,000 Jobs Los Angeles Aims To Ban Single-Use Printer Cartridges Videogame Stocks Slide On Google's AI Model That Turns Prompts Into Playable Worlds Wall Street's Top Bankers Are Giving Coinbase's Brian Armstrong the Cold Shoulder 'Moltbook Is the Most Interesting Place On the Internet Right Now' Apple 'Runs on Anthropic,' Says Bloomberg's Mark Gurman One-Third of US Video Game Industry Workers Were Laid Off Over the Last Two Years, GDC Study Reveals DuckDuckGo Users Vote Overwhelmingly Against AI Features Nobel Hacking Likely Leaked Peace Prize Winner Name, Probe Finds Do Markets Make Us Moral? 'Call Screening is Aggravating the Rich and Powerful' The UK Paid $5.65 Million For a Bookmarks Site Amazon in Talks To Invest Up To $50 Billion in OpenAIGizmodo
The Success of ‘Knight of the Seven Kingdoms’ Is Already Influencing HBO’s Other ‘Game of Thrones’ Spinoff Plans Japan Botched a Satellite Launch in One of the Weirdest Ways Possible AI Agents Have Their Own Social Network Now, and They Would Like a Little Privacy February’s Lego Releases Want You to Catch ‘Em All George R.R. Martin Almost Planned a Very Different Kind of Targaryen Power for ‘Game of Thrones’ Elon Musk Emailed With Jeffrey Epstein to Plan Island Visits in 2012 and 2014 Could Poop Pills Be a Secret Weapon Against Cancer? Seeing Is Believing at Your Own Peril in ‘After God’ Google’s Project Genie Is Not for You US Declassifies Vintage Spy Satellite With a Wildly Lopsided Orbit Catherine O’Hara, Star of ‘Beetlejuice’ and ‘Home Alone,’ Has Died This Robot Hand Pops Off and Crawls. I Hate It So Much. The Next ‘Fast and Furious’ Movie Finally Has an Official Title and Release Date Disgraced Crypto CEO Sam Bankman-Fried Seeks Trump Pardon With Republican Pivot Rabbit’s Next AI Gadget Is a ‘Cyberdeck’ for Vibe Coding Turtlemania Surges as ‘TMNT II: The Secret of the Ooze’ Returns to Theaters RFK Jr. Stacks Key Autism Panel With Vaccine Skeptics In a Sea of Melting Ice, These Polar Bears Are Doing Something Unexpected The Films and Shows You Should Be Streaming in February 2026 Tragic Death of Canadian Backpacker Prompts Dingo Cull. Here’s Why It’s the Wrong MoveSmithsonian Magazine
'Rising Star' of a Prominent Yellowstone Wolf Pack Was Illegally Killed, Sparking a Poaching Investigation From 'The Karate Kid' to 'Clueless,' These Are the 25 New Additions to the National Film Registry. See the Full List Here When Vampire Bats Become Close Friends, They Start ‘Talking’ Like Each Other Researchers Say This Paleolithic Teenage Boy Died a Slow Death After a Bear Mauled Him Wild Jaguars Sometimes Meow Just Like House Cats, New Recordings Suggest. The Sounds May Help Mothers and Cubs Find One Another Google Researchers Say Their New A.I. Tool AlphaGenome Can Help Decode the Human Genetic Instruction Book Ten of the Most Exciting Ways to Commemorate America's 250th This Year Renaissance Readers Left Chemical Clues Inside These Medical Manuals. Were They Using Human Feces and Tortoise Shells to Treat Illnesses? Dinosaur National Monument Construction Work Turns Up New Fossils, Leading to the First Excavation at One Site in More Than a Century These 15 Delightful Photos of Denmark Will Have You Booking Your Flights to Scandinavia This WeekendInfoQ
Rspack Releases Version 1.7: Final 1.x Update Before 2.0 Transition Presentation: WASM Components are a FaaS' Best Friend Article: Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark Podcast: The Technical Founder's Path: Code, Leadership, and Balance Microsoft Adds Custom Copilot Agents for .NET Developers with C# and WinForms Experts Anthropic Releases Updated Constitution for Claude Article: Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs Uber Moves from Static Limits to Priority-Aware Load Control for Distributed Storage Building Software Organisations Where People Can Thrive Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models Presentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned Swift Cross-Platform Framework Skip Now Fully Open Source Railway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models Google Introduces TranslateGemma Open Models for Multilingual TranslationDynomight
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
Supply is elastic, installment #6437 Friday assorted links The Effects of Ransomware Attacks on Hospitals and Patients Are the French lazy? Is school worse for your kids than social media? Thursday assorted links The United States as an Active Industrial Policy Nation “Can AI help us find God?” Wednesday assorted links Dean Ball speaks Wellington, New Zealand Tuesday assorted links Understanding Latin America’s Fertility Decline Who is good at soccer? *You Have No Right to Your Culture: Essays on the Human Condition*Not Boring
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 #169 Weekly Dose of Optimism #168Coding Horror
The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up? There is no longer any such thing as Computer Security To Serve Man, with SoftwareNASA Breaking News
NASA Selects Axiom Space for Fifth Private Mission to Space Station NASA Aims to Advance Hypersonic Flight Testing with New Awards Visualizing Perseverance’s AI-Planned Drive on Mars NASA Honor Awards for Cold Atom Lab Team Members Video: Perseverance Rover’s View of Crater Rim Drive Mapping Perseverance’s Route With AI NASA’s Perseverance Rover Completes First AI-Planned Drive on Mars What’s Up: February 2026 Skywatching Tips from NASA Preparing for Artemis II: Training for a Mission Around the Moon Goldstone’s DSS-15 Antenna and the Milky WayQuanta Magazine
Once Thought To Support Neurons, Astrocytes Turn Out To Be in Charge Networks Hold the Key to a Decades-Old Problem About Waves Is Particle Physics Dead, Dying, or Just Hard? Monster Neutrino Could Be a Messenger of Ancient Black Holes How Animals Build a Sense of DirectionScience Daily
A breakthrough that could make ships nearly unsinkable Late bedtimes are linked to higher heart disease risk The early turning point when men’s heart risk accelerates New scan spots heart disease years before symptoms Gray wolves are hunting sea otters and no one knows how Dermatologists say collagen supplements aren’t the skin fix people expect A diabetes drug shows surprising promise against heart disease Breakthrough sepsis drug shows promise in human trial Scientists find hidden pathways pancreatic cancer uses to spread A fish that ages in months reveals how kidneys grow old A simple blood test could spot Parkinson’s years before symptoms Ancient oceans stayed oxygen rich despite extreme warming Scientists found a way to cool quantum computers using noise Helping with grandkids may slow cognitive decline Long-term alcohol use linked to a sharp rise in rectal cancer A breakthrough that turns exhaust CO2 into useful materials Study raises red flags over long-term effectiveness of popular weight loss drugs like Ozempic Dark stars could solve three major mysteries of the early universe Brain cancer may begin years before doctors can see it A 20-year-old cancer vaccine may hold the key to long-term survival Low-Earth orbit is just 2.8 days from disaster Scientists use AI to crack the code of nature’s most complex patterns 1,000x faster A Trojan horse cancer therapy shows stunning results Tiny mammals are sending warning signs scientists can finally read The hidden reason cancer immunotherapy often fails Why long COVID brain fog seems so much worse in the U.S. This spider’s “pearl necklace” was living parasites Scientists turn tumor immune cells into cancer killers A sudden signal flare reveals the hidden partner behind fast radio bursts These nanoparticles could destroy disease proteins behind dementia and cancer Tea can improve your health and longevity, but how you drink it matters AI that talks to itself learns faster and smarter Radio waves revealed what happened before a star exploded The fat you can’t see could be shrinking your brain New review finds wild blueberries support heart and gut health A common parasite in the brain is far more active than we thought A century-old Stonehenge mystery may finally be solved The type of carbs you eat may affect dementia risk These common food preservatives may be linked to cancer Scientists finally explain Earth’s strangest fossils This discovery could let bones benefit from exercise without moving Scientists may have been wrong about what causes asthma Keto diet weight loss may come with a hidden cost Strange white rocks on Mars hint at millions of years of rain Scientists found a survival switch inside brain cells Scientists say quantum tech has reached its transistor moment A hidden magnetic order could unlock superconductivity Obesity and high blood pressure may directly cause dementia A dying star’s final breath glows in a new Webb image of the Helix Nebula Distant entangled atoms acting as one sensor deliver stunning precision Your fireplace may be doing more harm than you think The magnetic secret inside steel finally explained New DNA analysis rewrites the story of the Beachy Head Woman A hidden genetic war is unfolding inside your DNA Alzheimer’s may trick the brain into erasing its own memories A strange in-between state of matter is finally observed Why chronic gut inflammation can turn into colon cancer Researchers tested AI against 100,000 humans on creativity The early universe supercharged black hole growth A lost disease emerges from 5,500-year-old human remainsSpaceflight Now
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 2026 SpaceX launches Sunday sunset Starlink mission from Cape Canaveral NRO, SpaceX launch reconnaissance satellites from Vandenberg Crew 11 safely splashes down after shortened missionSpace Daily
NASA Heat Shield Technology Enables Space Industry Growth Rocket Lab conducts second Electron mission in eight days to orbit Korean imaging satellite China sea launch boosts private rocket activity in 2026 New clues to Mars habitability in discovery of ancient beach Networks ready to keep Artemis II crew connected around the Moon Quark wakes reveal early universe plasma flowed like a liquid Radio view of rare supernova tracks dying star's final decade Lockheed Martin launches ninth GPS III satellite to boost secure navigation SES to extend EGNOS GEO 1 payload service for precise navigation over Europe through 2030 SpaceX eyes IPO timed to planet alignment and Musk birthday: report Earliest launch window to ISS set for February 11: NASA Why PR Boxes Are Powerful Tools for Product Launches New European Infrared Sounder Maps Atmosphere In Three Dimensions Webb sharpens view of dark matter shaping the cosmos AI tool mines Hubble archive for hundreds of strange cosmic objectsSpace News
L3Harris reaffirms commitment to space business amid missile sector expansion Blue Origin halts New Shepard flights Weather delays Artemis 2 wet dress rehearsal A fireside chat with Space Force Gen. Shawn Bratton RBC Signals partners with in-orbit relay developer Apolink Making the unprecedented EU Space Act effective for all Rocket Lab launches South Korean satellite Alabama National Guard general to manage Space Command headquarters transition NASA considering alternatives for Gateway logistics York Space goes public, riding Pentagon demand Global Space Economy Reaches $626 Billion, Marking a New Phase of Growth Eutelsat’s ground infrastructure sale falls through Oxford Space Systems Wrapped Rib Antenna Successfully Deployed In-Orbit on CarbSAR Mission China eyes space resources, space tourism and on-orbit digital infrastructure What would Artemis participation mean for Türkiye’s space industry and space diplomacy? Space Grove Ventures Announces Public Launch at SpaceCom | Space Congress, Signaling a New Commercial Model for Space and Defense Ecosystem Development SpaceX plans next Starship test flight in March NOAA seeks more money and flexibility for commercial weather data program GAO flags risks in Space Development Agency’s missile-tracking satellite program HEO acquires in-orbit satellite from Satellogic Space-focused SPAC goes public after pricing $200 million IPO U.S. Space Command to bring commercial firms into classified wargame on nuclear threats in space Space Command’s case for orbital logistics: Why the Pentagon is being urged to think beyond launch Space Futures Centre, World Economic Forum Launch Space Debris Insights ReportMartin Fowler
Bliki: Excessive Bold Assessing internal quality while coding with an agent Fragments: January 22 Conversation: LLMs and the what/how loop Stop Picking Sides: Manage the Tension Between Adaptation and Optimization My favorite musical discoveries of 2025 Fragments: January 8 Fragments: December 16 Writing Fragments Fragments Dec 11 Fragments Dec 4 Fragments Nov 19 My Foreword to "Frictionless" The Learning Loop and LLMs Fragments Nov 3 Agentic AI and Security Fragments and Links Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl Anchoring AI to a reference application To vibe or not to vibe Some thoughts on LLMs and Software Development From Black Box to Blueprint Research, Review, Rebuild: Intelligent Modernisation with MCP and Strategic Prompting Building your own CLI Coding Agent with Pydantic-AI Chatting with Unmesh about building language with LLMs Bliki: Expansion Joints Team OKRs in Action Impact Intelligence, addressing common objections Quick but worthwhile links Actions to improve impact intelligenceAttack Magazine
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 Year Versatile 80s Synth KeysDJ 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