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Former Police Chief Said Trump Told Him ‘Everyone’ Knew of Epstein’s Actions - The New York Times Buddhist monks head to D.C. to finish a 'Walk for Peace' that captivated millions - NPR Exclusive: Trump says he opposes Israeli annexation steps in West Bank - Axios Pride Flag Is Removed From Stonewall Monument After Trump Directive - The New York Times Minnesota gubernatorial candidate suspends his campaign after his daughter is found fatally stabbed - NBC News Epstein Used Cash to Wield His Influence at Columbia and N.Y.U. - The New York Times ICE chief defends immigration enforcement operations before Congress - AP News Lutnick Acknowledges Traveling to Epstein’s Island - The New York Times Don Lemon Hires Federal Prosecutor Joseph H. Thompson in Minneapolis Church Protest Case - The New York Times S.F. teachers strike day 2: Late-night talks narrow gaps, but deal elusive - San Francisco Chronicle Netanyahu wants Trump to demand more from Iran. The leaders will meet this week - AP News The US slips to its lowest-ever rank in a global corruption index - CNN Bangladesh votes in world's first Gen Z-inspired election - Reuters Israeli drone strike kills 2 cyclists in Gaza as death toll mounts despite ceasefire - AP News F.D.A. Refuses to Review Moderna Flu Vaccine - The New York Times Crypto caution weighs on Robinhood’s sales and sinks its stock - MarketWatch Estée Lauder sues Walmart alleging 'despicable' sale of counterfeit beauty products - CNBC Google offers buyouts to staff in its business unit who aren't 'all in' - Business Insider Galaxy S26 fully leaked specs temper big expectations for battery, display - 9to5Google Google rolling out Android 16 QPR3 Beta 2.1 patch - 9to5Google Vibe coding Nothing’s apps is fun, until you try to make them useful - The Verge Razer’s resurrected 25-year-old gaming mouse will cost you $1,337 - The Verge Philippe Gaulier, Revered Clown and ‘Tormentor’ of Aspiring Comedians, Dies at 82 - The New York Times Ryan Coogler Goes Deep on Shattering Oscar Records, Losing Chadwick and Battling Impostor Syndrome - The Hollywood Reporter King Charles: We'll Cooperate With Police on Andrew - Newser GH Comings & Goings: Steve Burton Taking Hiatus as Jason Morgan - Soap Opera Digest Swedish siblings win gold in Olympics mixed doubles curling - ESPN Patriots' Will Campbell ready to 'move on' after Super Bowl disaster: 'I know what I need to get better at' - NFL.com Naumov makes Olympic debut after losing parents in tragic crash - ESPN Post-Super Bowl Power Rankings: Where does each NFL team stand entering 2026 offseason? - NFL.com Lost Soviet Moon Lander May Have Been Found - The New York Times Earth’s core may contain as much as 45 oceans’ worth of hydrogen, scientists find - CNN How big can a planet be? With very large gas giants, it can be hard to tell - Phys.org How an ancient seafloor turned Arkansas into 'Sharkansas,' a shark fossil hotspot - Phys.org AMA joins effort to launch vaccine science review amid CDC turmoil - The Washington Post Opinion | We may be doing breast cancer screening all wrong - The Washington Post Physician highlights health benefits of GLP-1 drugs that go beyond weight loss: Osteoarthritis to cardiovascular events | Health - Hindustan Times Over 50 cases of measles confirmed at Ave Maria University - WINK NewsBBC News
Boy arrested for attempted murder after two pupils stabbed at school I will never walk away, says PM after facing pressure to quit 'Fear and alienation': Senior Co-op staff complain of 'toxic' culture at the top Ex-police chief said Trump told him in 2006 'everyone' knew of Epstein's behaviour Watch: BBC in Tehran for first time since protest crackdown FBI releases images of masked person in hunt for Savannah Guthrie's mother Norwegian biathlete Laegreid wins bronze then confesses to affair on TV Spike in antisemitism reports after synagogue attack Former Daily Mail editor tells hacking trial allegations are 'preposterous' Afghan asylum seeker guilty of raping girl, 12 'No win, no trim' - has a haircut become a problem for Man Utd? UK braces for more rain as flood warnings remain in place Malinin, Minion and Milan's most emotional moment How does curling work? Ukrainian racer says he will wear 'helmet of remembrance' despite IOC ban Watch: USA's Naumov skates in memory of parents who died in plane crash Captivating chemistry or a hollow misfire? Wuthering Heights splits critics Six key questions about Keir Starmer's future 'Funny, warm, and no car chases' - Michael Palin on his return to TV acting Sepsis mistakes killed our daughter - we fear it could happen again Why British coach is 'game-changer' for Super Bowl winners & NFL Disney advert banned for showing 'disturbing' severed body Under-fire Trump commerce secretary confirms he visited Epstein's island Noel Clarke arrested on suspicion of attempted rape, reports say Teen killer of schoolboy Leo Ross, 12, to spend at least 13 years in custody Ex-Labour comms chief suspended over links to sex offender BBC News app Has Keir Starmer Saved His Job (For Now)? Children in Care: How to Fix the Fostering Crisis Frank insists he is safe - but will he avoid Spurs sack? Carrick's 'Sir Alex' playbook and a happy start at Man Utd USA's Maxim Naumov skates in memory of his parents 'No win, no trim' - has a haircut become a problem for Man Utd? Ex-rugby league player says head injuries affected mental healthFinancial Times (World)
Ford EV woes continue to plague company despite writedown US brokerage shares slide in latest sell-off driven by new AI tool FirstFT: China steps up dangerous air manoeuvres near Taiwan UK electricity will cost more in 2030 than after invasion of Ukraine, warns Centrica Tesla files criminal complaint against German union representative What Takaichi's win means for global markets Canadian pension giant halts deals with DP World over chief’s Epstein ties Howard Lutnick says he visited Jeffrey Epstein’s island in 2012 Starmer too ‘weak’ to sack Streeting, prime minister’s allies admit Paramount creeps towards the inevitable: more cash for Warner Bros Starmer strips whip from former senior aide over links to sex offender Trump threatens to block opening of new border bridge with Canada Emerging economies shine despite US volatility Daniel Ek and Peter Thiel-backed start-ups win German military drone contracts Goldman Sachs CEO says Trump’s populist policies should aid growth Russia’s shell output soars as it prepares for ‘next war’, warns Estonia Non-working partners risk limbo with UK migration reforms, analysis finds Paramount sweetens takeover offer for Warner Bros Discovery Wall Street’s anything-but-tech trade shakes up US stock market McKinsey hands over control of controversial in-house asset manager EU seeks to ban all Russian crypto transactions Trump plans to spare Amazon, Google and Microsoft from next wave of chip tariffs The fight between staff and hawks inside the BoE Will Washington’s $12bn Project Vault launch a minerals hoarding race? Nikkei Group names Tsuyoshi Hasebe as chairFinancial Times (UK)
Disclosure rules for ‘buy now, pay later’ lenders diluted by UK regulator UK first-time buyers too pessimistic about securing a property, study says UK electricity will cost more in 2030 than after invasion of Ukraine, warns Centrica Starmer too ‘weak’ to sack Streeting, prime minister’s allies admit Starmer strips whip from former senior aide over links to sex offender Non-working partners risk limbo with UK migration reforms, analysis finds The fight between staff and hawks inside the BoE Why Maga loathes London UK watchdog stops short of imposing EU-style rules on Apple and Google UK awards subsidy contracts for record amount of solar power Starmer’s route to recovery BT replaces Openreach boss in latest top-level reshuffle Timing of England’s school holidays is ‘pretty bizarre’, says Ofsted head Britain is falling behind in the European space race Premature access to Reeves’ fiscal statements more extensive than thought, review says January sales spree fuels UK retail spending growth Rising share of UK public in favour of tax and spending cuts Starmer defies call to quit as UK prime minister Starmer crisis as it happened: Labour MPs back premier as he asks for more time to deliver on party manifesto Starmer stumbles on as rivals balk at killer blow Misconduct in public office: the offence that rarely ensnares politicians King Charles says he will help police investigate brother’s links to Epstein English councils to receive at least £5bn for special needs education overspend Gilts stabilise after cabinet voices support for Starmer Starmer’s communications chief quits as pressure grows on PMThe New York Times
A.I. Personalizes the Internet but Takes Away Control NLRB Dismisses Case Brought by Fired SpaceX Employees YouTube Argues It Isn’t Social Media in Landmark Tech Addiction Trial Meta and YouTube Created ‘Digital Casinos,’ Lawyers Argue in Landmark Trial Ford Says Electric Vehicle Losses Will Continue for Three More Years A.I. Is Making Doctors Answer a Question: What Are They Really Good For? These A.I. Dreamers Don’t Fit the Stereotype Washington Post C.E.O. Will Lewis Steps Down After Stormy Tenure These Mathematicians Are Putting A.I. to the Test After Merging xAI and SpaceX, Elon Musk Hopes He Can Win Over Wall Street Stellantis’s Shift Away From Electric Cars Will Cost It $26 Billion Elon Musk’s Mega-Merger + We Test Google’s Project Genie + What’s Next for Moltbook Creator Amazon’s $200 Billion Spending Plan Raises Stakes in A.I. Race Bitcoin Drops to Lowest Price Since Trump Was Elected as Crypto Faces Slump At Ukraine’s Request, Starlink Denies Internet Access to Russian Troops France’s Raid on X Escalates Trans-Atlantic Showdown Over Social Media Moltbook Mania Explained Netflix Leader Pushes Warner Deal Before Skeptical Lawmakers ‘Don Colossus,’ a Golden Statue of President Trump, Waits for Its Home Spain Aims to Ban Social Media for Children Under 16The Guardian
53 people dead or missing after migrant boat capsizes in Mediterranean Ebo Taylor, Ghanaian highlife pioneer and guitarist, dies age 90 Weather tracker: Spain and Portugal hit by third deadly storm in two weeks RSF drone attack kills 24 people fleeing fighting in central Sudan, says doctors group Thousands of Malawi businesses close in protest over tax changes Mark Carney reminds Trump that Canada paid for key border bridge US president says he won’t open Astronomers celebrate cancellation of $10bn Chile project that threatened clearest skies in the world Trump threatens to block new bridge in latest tirade against Canada US says two people killed in military strike on boat in Pacific Air Canada cancels all flights to Cuba as US oil blockade cuts off fuel access ‘Wake-up call’ for Greece as air force officer accused of spying for China Hong Kong’s once-vibrant press stays silent or celebrates Jimmy Lai’s 20-year jail sentence Parents of Melbourne methanol-poisoning victims ‘shocked’ by $185 fines handed to Laos hostel staff US judges dismiss lawsuits accusing Neil Gaiman of sexual assault Jimmy Lai: Hong Kong media tycoon gets 20 years in jail – The Latest Australia politics live: moderate Liberals call for Angus Taylor to end ‘ongoing chatter’ and declare leadership intentions; rent tipped to surge again Five bones, teeth and car key found in Tasmanian search for missing backpacker Celine Cremer Bitter taste: per-unit pricing of Australian supermarket fruit and veg leaving customers out of pocket Labor group voices ‘distress and disgust’ at police response to anti-Herzog protests Drawings of Kangaroo Island fossils provide inspiration for stamp series Ireland’s basic income for the arts scheme becomes permanent Norway defence chief says Russia could invade to protect nuclear assets Drive the ‘ice road’, Estonians told – just don’t fasten your seatbelt Bulgaria gripped by mysterious deaths of six people in mountains EU moves closer to creating offshore centres for migrants and asylum seekers Iran tells US not to let Netanyahu thwart nuclear talks before Trump meeting ‘A step in the wrong direction’: Israel’s West Bank plans prompt global backlash Indonesia prepares to send up to 8,000 troops to Gaza as part of Trump plan Iran’s shadow fleet of old tankers a ticking bomb for sea life, say experts Israeli court blocks life-saving cancer care for boy, 5, due to his Gaza address Traditional food could help reverse Nepal’s ‘diabetes epidemic’, studies suggest One person dead from Nipah virus in Bangladesh, WHO says Mosque bombing in Pakistan capital kills at least 31 people Pakistan targets Balochistan separatists after ‘unprecedented’ assaults Inside Myanmar’s five-year armed resistance – a photo essay ‘Unsustainable’ gaps in policing of franchise businesses must end, MPs say Antisemitic incidents in UK spiked after Manchester synagogue terror attack English secondary schools must offer inclusion areas for neurodiverse and Send pupils School phone policies in England a ‘huge drain’ on staff resources – study Counter-terrorism unit leads inquiry into stabbing of two boys at north London school Britney Spears sells rights to music catalog for undisclosed sum, say reports FDA declines to review Moderna application for new flu vaccine Man convicted of first-degree murder is first to be executed by Florida in 2026 Gray wolf appears in Los Angeles county for first time in more than 100 years Democratic congressman Ro Khanna names six men appearing in unredacted Epstein files – liveHacker News
The Day the Telnet Died The Falkirk Wheel Tambo 1.0: Open-source toolkit for agents that render React components Show HN: Sol LeWitt-style instruction-based drawings in the browser How did Windows 95 get permission to put the Weezer video Buddy Holly on the CD? Show HN: Multimodal perception system for real-time conversation Launch HN: Livedocs (YC W22) – An AI-native notebook for data analysis Markdown CLI viewer with VI keybindings Google handed ICE student journalist's bank and credit card numbers Show HN: Stripe-no-webhooks – Sync your Stripe data to your Postgres DB The Singularity will occur on a Tuesday Show HN: Rowboat – AI coworker that turns your work into a knowledge graph (OSS) Mathematicians disagree on the essential structure of the complex numbers (2024) Competition is not market validation Ex-GitHub CEO launches a new developer platform for AI agents I started programming when I was 7. I'm 50 now and the thing I loved has changed Oxide raises $200M Series C Simplifying Vulkan one subsystem at a time Show HN: Distr 2.0 – A year of learning how to ship to customer environments Europe's $24T Breakup with Visa and Mastercard Has BegunArxiv astro-ph.HE
A NICER view of the corona through time-dependent Comptonization of the quasi-periodic oscillations in nine black-hole X-ray binaries Imprints of gravitational waves from magnetar spindown in GRB X-ray afterglows FPIC: a new Particle-In-Cell code for stationary and axisymmetric black-hole spacetimes Astrophysical positronium and Dicke superradiance Two-component $\gamma$-Ray Structure from the CR Sources Within Dense Clouds A Multi-messenger Search for a Nearby Microquasar Contributor to the Cosmic Ray Knee Effects of Viscosity on Sloshing Cold Fronts in Galaxy Clusters A MeerKAT search for persistent radio sources towards twenty-five localised Fast Radio Bursts Pulsars and Millisecond Pulsars I: Advancements, Open Questions and finding Gaps via statistical insights Pulsars and Millisecond Pulsars II: Deep diving into the Evolutionary Mechanisms A comprehensive catalogue of high-mass X-ray binaries in the Large Magellanic Cloud detected during the first eROSITA all-sky survey A Minimal Interpretation of the Galactic Cosmic-Ray Spectrum from GeV to PeV Energies Neutrino Emission from Gamma-ray Burst Jet Propagating inside the Cavity within Active Galactic Nucleus Accretion Disks High-resolution X-ray spectroscopy of Cen X-3 with XMM-Newton Identifying Host Galaxies of Binary Black Hole Mergers with Next-Generation Gravitational Wave Detector Networks IceCube's Sensitivity Prospects to MeV-Scale Axion-Like Particles from Core-Collapse Supernovae Is plasmoid-mediated reconnection really important in accretion flows to drive flares in AGNs? Seasonal Variation of Polar Ice: Implications for Ultrahigh Energy Neutrino Detectors On the Deepest Search for Galactic Center Pulsars and an Examination of an Intriguing Millisecond Pulsar Candidate The Reawakening of 4U 1755-338 after 25 Years of Quiescence: Spectro-temporal Analysis Using Multi-instrument X-ray Data Microquasar Remnants as Pevatrons Illuminating the Galactic Cosmic Ray Knee An Exploration of the Equation of State Dependence of Core-Collapse Supernova Explosion Outcomes and Signatures Asymptotic Freedom and Vacuum Polarization Determine the Astrophysical End State of Relativistic Gravitational Collapse: Quark--Gluon Plasma Star Instead of Black Hole Neutron Stars as Perfect Fluids: Extracting the Linearized Response Function Scintillation muon telescope module with fiber-optic light collection Prospective bounds on f(Q) gravity with pulsar timing arrays Gravitational Wave Informed Inference of 21-cm Global Signal Parameters Accelerating Black Hole Image Generation via Latent Space Diffusion Models New solution to the hyperon puzzle of neutron stars: Quantum many-body effects Boson Cloud Atlas: Direct mass measurements of superradiance clouds near black holes Transonic accretion flow in the mini discs of a binary black hole system A Hierarchical Shock Model of Ultra-High-Energy Cosmic Rays Gravitational Wave Evidence of Spin Energy Extraction from Black Holes LVK S241125n: Massive Binary Black Hole Merger Produces Gamma Ray Burst in Active Galactic Nucleus Disk Hybrid Black Hole and Disk-Driven Jets: Steady Axisymmetric Ideal MHD Modeling Testing Magnetic Field Configurations in Spider Pulsar PSR J1723-2837 with IXPE Repeating versus Nonrepeating Fast Radio Bursts: A Deep Learning Approach to Morphological Characterization A multiwavelength study of the Galactic center black hole candidate MAXI J1744-294 Pair luminosity and cooling of newborn strange star: unpaired quarks Eclipsed X-ray Bursts from Magnetar SGR J1935+2154 and the Fireball Measurements Gamma-Ray Burst Polarimetry with the COMCUBE-S CubeSat Swarm -- Design and Performance Simulations Search for Axion-Like Particles in High-Magnetic-Field Pulsars with NICER Evolution of the Inner Accretion Flow in Swift J1727.8$-$1613 across Intermediate States: Insights from Broadband Spectral and Timing Analysis Intergalactic magnetic field lower limits up to the redshift $z\approx3$ A case for Case A: detailed look at binary black hole formation through stable mass transfer Spectral Appearance of Self-gravitating AGN Disks Powered by Stellar Objects: Universal Effective Temperature in the Optical Continuum and Application to Little Red Dots No Flavor Anisotropy in the High-Energy Neutrino Sky Upholds Lorentz Invariance Self-Interacting Dark-Matter Spikes and the Final-Parsec Problem: Bayesian constraints from the NANOGrav 15-Year Gravitational-Wave Background Intermediate mass-ratio inspirals in a dense dark-matter environment: Effects of the initial dark-matter distribution Gravitational radiation reaction around a static black hole surrounded by a Dehnen type dark matter halo Shadows of the Colossus: Hierarchical Black Hole Mergers in a 10-million-body Globular Cluster Simulation Traversable wormholes inside anisotropic magnetized neutron stars: physical properties and potential observational imprintsArxiv cs.LG
Attractor Patch Networks: Reducing Catastrophic Forgetting with Routed Low-Rank Patch Experts Neural Sabermetrics with World Model: Play-by-play Predictive Modeling with Large Language Model Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization TACIT: Transformation-Aware Capturing of Implicit Thought Video-based Music Generation Hybrid Dual-Path Linear Transformations for Efficient Transformer Architectures The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL Attention-Driven Framework for Non-Rigid Medical Image Registration Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis Featured Reproducing Kernel Banach Spaces for Learning and Neural Networks BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning Rate On Randomness in Agentic Evals Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity Mimetic Initialization of MLPs Learning Nonlinear Systems In-Context: From Synthetic Data to Real-World Motor Control Latent Target Score Matching, with an application to Simulation-Based Inference Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling Risk-Sensitive Exponential Actor Critic Exactly Computing do-Shapley Values Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling Adaptive Retrieval helps Reasoning in LLMs -- but mostly if it's not used Probing Neural TSP Representations for Prescriptive Decision Support Collaborative and Efficient Fine-tuning: Leveraging Task Similarity The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network SpecAttn: Co-Designing Sparse Attention with Self-Speculative Decoding Fault-Tolerant Evaluation for Sample-Efficient Model Performance Estimators Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation ArcMark: Multi-bit LLM Watermark via Optimal Transport Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning Robust Ultra-High-Dimensional Variable Selection With Correlated Structure Using Group Testing tLoRA: Efficient Multi-LoRA Training with Elastic Shared Super-Models XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference Hybrid Feedback-Guided Optimal Learning for Wireless Interactive Panoramic Scene Delivery Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation VertCoHiRF: Decentralized Vertical Clustering Beyond k-means Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control Scalable Dexterous Robot Learning with AR-based Remote Human-Robot Interactions Controllable Value Alignment in Large Language Models through Neuron-Level Editing UTOPIA: Unlearnable Tabular Data via Decoupled Shortcut Embedding FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity Privately Learning Decision Lists and a Differentially Private Winnow Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks Nonparametric Bayesian Optimization for General Rewards Learning Molecular Chirality via Chiral Determinant Kernels Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles On the Importance of a Multi-Scale Calibration for Quantization Bandit Allocational Instability Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data AI-Driven Predictive Modelling for Groundwater Salinization in Israel ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations Deriving Neural Scaling Laws from the statistics of natural language Hyperparameter Transfer Laws for Non-Recurrent Multi-Path Neural Networks CoMI-IRL: Contrastive Multi-Intention Inverse Reinforcement Learning PALMS: Pavlovian Associative Learning Models Simulator Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Games MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution Compact Conformal Subgraphs Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking Astro: Activation-guided Structured Regularization for Outlier-Robust LLM Post-Training Quantization Rational Transductors Object-Oriented Transition Modeling with Inductive Logic Programming Escaping Spectral Bias without Backpropagation: Fast Implicit Neural Representations with Extreme Learning Machines SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models Dense Neural Networks are not Universal Approximators TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators Continuous Program Search Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation Federated Learning with Profile Mapping under Distribution Shifts and Drifts ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets Spectral Gating Networks On the Infinite Width and Depth Limits of Predictive Coding Networks Dense Feature Learning via Linear Structure Preservation in Medical Data Quantifying Explanation Quality in Graph Neural Networks using Out-of-Distribution Generalization Towards Robust Scaling Laws for Optimizers Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models Efficient Planning in Reinforcement Learning via Model Introspection ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs The Laplacian Keyboard: Beyond the Linear Span Efficient Adaptive Data Analysis over Dense Distributions TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations Learnable Chernoff Baselines for Inference-Time Alignment Riemannian MeanFlow Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training CausalTAD: Injecting Causal Knowledge into Large Language Models for Tabular Anomaly Detection Fairness Aware Reward Optimization Approximating Matrix Functions with Deep Neural Networks and Transformers Efficient Representations are Controllable Representations rePIRL: Learn PRM with Inverse RL for LLM Reasoning Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation MARTI-MARS$^2$: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation Dynamic Load Model for Data Centers with Pattern-Consistent Calibration Direct Soft-Policy Sampling via Langevin Dynamics Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion GRAFT: Decoupling Ranking and Calibration for Survival Analysis Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios A Kinetic-Energy Perspective of Flow Matching Attention-Based Deep Learning for Early Parkinson's Disease Detection with Tabular Biomedical Data A Thermodynamic Theory of Learning Part II: Critical Period Closure and Continual Learning Failure An Explainable Multi-Task Similarity Measure: Integrating Accumulated Local Effects and Weighted Fr\'echet Distance On Improving Neurosymbolic Learning by Exploiting the Representation Space Beyond Optimization: Intelligence as Metric-Topology Factorization under Geometric Incompleteness When Is Compositional Reasoning Learnable from Verifiable Rewards? Regret Analysis of Unichain Average Reward Constrained MDPs with General Parameterization Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection From $O(mn)$ to $O(r^2)$: Two-Sided Low-Rank Communication for Adam in Distributed Training with Memory Efficiency A Unified Density Operator View of Flow Control and Merging The Rise of Sparse Mixture-of-Experts:A Survey from Algorithmic Foundations to Decentralized Architectures and Vertical Domain Applications Sharp analysis of linear ensemble sampling Horizon Imagination: Efficient On-Policy Training in Diffusion World Models The Benefits of Diversity: Combining Comparisons and Ratings for Efficient Scoring TAAM:Inductive Graph-Class Incremental Learning with Task-Aware Adaptive Modulation FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability-Plasticity Tradeoff Implicit Strategic Optimization: Rethinking Long-Horizon Decision-Making in Adversarial Poker Environments V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning Interpretable Fuzzy Systems For Forward Osmosis Desalination Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning Compiler-Assisted Speculative Sampling for Accelerated LLM Inference on Heterogeneous Edge Devices Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation Efficient Distribution Learning with Error Bounds in Wasserstein Distance SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders Spectral Guardrails for Agents in the Wild: Detecting Tool Use Hallucinations via Attention Topology Probability Hacking and the Design of Trustworthy ML for Signal Processing in C-UAS: A Scenario Based Method Online Domain-aware LLM Decoding for Continual Domain Evolution Mutual information and task-relevant latent dimensionality Online Bayesian Imbalanced Learning with Bregman-Calibrated Deep Networks Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Reliable and Responsible Foundation Models: A Comprehensive Survey A second order regret bound for NormalHedge The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models Spherical Steering: Geometry-Aware Activation Rotation for Language Models A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis Nansde-net: A neural sde framework for generating time series with memory Dreaming in Code for Curriculum Learning in Open-Ended Worlds Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial Optimization DrugR: Optimizing Molecular Drugs through LLM-based Explicit Reasoning Distribution-Free Robust Functional Predict-Then-Optimize Thermodynamic Isomorphism of Transformers: A Lagrangian Approach to Attention Dynamics Sparsity-Aware Evolution for Model Merging SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning Linearization Explains Fine-Tuning in Large Language Models Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers Constraint-Aware Generative Auto-bidding via Pareto-Prioritized Regret Optimization Inverting Data Transformations via Diffusion Sampling When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems Noise Stability of Transformer Models Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems Grokking in Linear Models for Logistic Regression TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning Interaction-Grounded Learning for Contextual Markov Decision Processes with Personalized Feedback Fast Flow Matching based Conditional Independence Tests for Causal Discovery Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer OJBKQ: Objective-Joint Babai-Klein Quantization Reinforcement Learning with Backtracking Feedback Modalities, a PyTorch-native Framework For Large-scale LLM Training and Research Drop the mask! GAMM-A Taxonomy for Graph Attributes Missing Mechanisms Radial M\"untz-Sz\'asz Networks: Neural Architectures with Learnable Power Bases for Multidimensional Singularities The Connection between Kriging and Large Neural Networks USBD: Universal Structural Basis Distillation for Source-Free Graph Domain Adaptation RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks Estimating Aleatoric Uncertainty in the Causal Treatment Effect Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization Learning Credal Ensembles via Distributionally Robust Optimization Time-Delayed Transformers for Data-Driven Modeling of Low-Dimensional Dynamics Beyond Correctness: Learning Robust Reasoning via Transfer Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards Is Meta-Path Attention an Explanation? Evidence of Alignment and Decoupling in Heterogeneous GNNs Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering Causal Schr\"odinger Bridges: Constrained Optimal Transport on Structural Manifolds Rho-Perfect: Correlation Ceiling For Subjective Evaluation Datasets Stateless Yet Not Forgetful: Implicit Memory as a Hidden Channel in LLMs M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources Modeling Score Approximation Errors in Diffusion Models via Forward SPDEs Conditional Sequence Modeling for Safe Reinforcement Learning Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction FairRARI: A Plug and Play Framework for Fairness-Aware PageRank SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning TFMLinker: Universal Link Predictor by Graph In-Context Learning with Tabular Foundation Models Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete and Hybrid Action Spaces ERIS: Enhancing Privacy and Communication Efficiency in Serverless Federated Learning Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs CauScale: Neural Causal Discovery at Scale LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection Projected Gradient Ascent for Efficient Reward-Guided Updates with One-Step Generative Models From Robotics to Sepsis Treatment: Offline RL via Geometric Pessimism Two-Stage Data Synthesization: A Statistics-Driven Restricted Trade-off between Privacy and Prediction Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models LLaDA2.1: Speeding Up Text Diffusion via Token Editing Dashed Line Defense: Plug-And-Play Defense Against Adaptive Score-Based Query Attacks The Theory and Practice of MAP Inference over Non-Convex Constraints CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Reasoning aligns language models to human cognition Trapped by simplicity: When Transformers fail to learn from noisy features QUOKA: Query-Oriented KV Selection For Efficient LLM Prefill Data Reconstruction: Identifiability and Optimization with Sample Splitting Foundation Inference Models for Ordinary Differential Equations On the Expressive Power of GNNs for Boolean Satisfiability Central Dogma Transformer II: An AI Microscope for Understanding Cellular Regulatory Mechanisms Redundancy-Free View Alignment for Multimodal Human Activity Recognition with Arbitrarily Missing Views HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training FreqLens: Interpretable Frequency Attribution for Time Series Forecasting Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs Efficient Deep Learning for Biometrics: Overview, Challenges and Trends in Ear of Frugal AI $\texttt{lrnnx}$: A library for Linear RNNs Robust Policy Optimization to Prevent Catastrophic Forgetting Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity Kirin: Improving ANN efficiency with SNN Hybridization FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models Bayesian Preference Learning for Test-Time Steerable Reward Models Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization Discovering Interpretable Algorithms by Decompiling Transformers to RASP Magnitude Distance: A Geometric Measure of Dataset Similarity Near-optimal Swap Regret Minimization for Convex Losses AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Stress-Testing Alignment Audits With Prompt-Level Strategic Deception Learning Potentials for Dynamic Matching and Application to Heart Transplantation Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression Discrete Bridges for Mutual Information Estimation GSS: Gated Subspace Steering for Selective Memorization Mitigation in LLMs Positive Distribution Shift as a Framework for Understanding Tractable Learning GEMSS: A Variational Bayesian Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents Distributionally Robust Optimization via Generative Ambiguity Modeling StretchTime: Adaptive Time Series Forecasting via Symplectic Attention Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning DirMoE: Dirichlet-routed Mixture of Experts ARO: A New Lens On Matrix Optimization For Large Models ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling Speech Emotion Recognition Leveraging OpenAI's Whisper Representations and Attentive Pooling Methods Graph-Based Nearest-Neighbor Search without the Spread Does Visual Rendering Bypass Tokenization? Investigating Script-Tokenizer Misalignment in Pixel-Based Language Models Bridging the Knowledge Void: Inference-time Acquisition of Unfamiliar Programming Languages for Coding Tasks Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization Curriculum-Learned Vanishing Stacked Residual PINNs for Hyperbolic PDE State Reconstruction Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach MolLIBRA: Genetic Molecular Optimization with Multi-Fingerprint Surrogates and Text-Molecule Aligned Critic Scalable spatial point process models for forensic footwear analysis Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models Financial Bond Similarity Search Using Representation Learning AI for Sustainable Data Protection and Fair Algorithmic Management in Environmental Regulation Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents OMNI-Dent: Towards an Accessible and Explainable AI Framework for Automated Dental Diagnosis ShapBPT: Image Feature Attributions Using Data-Aware Binary Partition Trees Neural Sentinel: Unified Vision Language Model (VLM) for License Plate Recognition with Human-in-the-Loop Continual Learning Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration? FADE: Selective Forgetting via Sparse LoRA and Self-Distillation Pro-ZD: A Transferable Graph Neural Network Approach for Proactive Zero-Day Threats Mitigation LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics BayesFlow 2.0: Multi-Backend Amortized Bayesian Inference in Python Fast and Robust Likelihood-Guided Diffusion Posterior Sampling with Amortized Variational Inference Reasoning-Augmented Representations for Multimodal Retrieval Discrete Adjoint Matching Free Energy Mixer High-fidelity 3D multi-slab diffusion MRI using Slab-shifting for Harmonized 3D Acquisition and Reconstruction with Profile Encoding Networks (SHARPEN) The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization Automated Modernization of Machine Learning Engineering Notebooks for Reproducibility Extracting Root-Causal Brain Activity Driving Psychopathology from Resting State fMRI Is there "Secret Sauce'' in Large Language Model Development? Beyond Crash: Hijacking Your Autonomous Vehicle for Fun and Profit 3D Transport-based Morphometry (3D-TBM) for medical image analysis BRIDGE: Predicting Human Task Completion Time From Model Performance Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs Cross-View World Models Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization Semantic Search At LinkedIn Optimization of Precipitate Segmentation Through Linear Genetic Programming of Image Processing High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation Optimizing Few-Step Generation with Adaptive Matching Distillation Efficient Post-Training Pruning of Large Language Models with Statistical Correction Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging Statistical inference after variable selection in Cox models: A simulation study GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design Physical Analog Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization Evaluating Object-Centric Models beyond Object Discovery LLM-Guided Diagnostic Evidence Alignment for Medical Vision-Language Pretraining under Limited Pairing Improving Variable-Length Generation in Diffusion Language Models via Length Regularization Linguistic properties and model scale in brain encoding: from small to compressed language models Capturing the Topological Phase Transition and Thermodynamics of the 2D XY Model via Manifold-Aware Score-Based Generative Modeling How does longer temporal context enhance multimodal narrative video processing in the brain? $\partial$CBDs: Differentiable Causal Block Diagrams Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures Scalable Mean-Field Variational Inference via Preconditioned Primal-Dual Optimization Flow-Based Conformal Predictive Distributions Efficient Table Retrieval and Understanding with Multimodal Large Language Models Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making Debugging code world models Vision and language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning On Generation in Metric Spaces BFTS: Thompson Sampling with Bayesian Additive Regression Trees PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification TodoEvolve: Learning to Architect Agent Planning Systems MemFly: On-the-Fly Memory Optimization via Information Bottleneck SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity Learning to Alleviate Familiarity Bias in Video Recommendation Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities ForecastOcc: Vision-based Semantic Occupancy Forecasting FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging Graph-based Semi-Supervised Learning via Maximum Discrimination The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery Gender and Race Bias in Consumer Product Recommendations by Large Language Models Adjustment of Cluster-Then-Predict Framework for Multiport Scatterer Load Prediction Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning Evasion of IoT Malware Detection via Dummy Code Injection Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models Information Geometry of Absorbing Markov-Chain and Discriminative Random Walks InfiCoEvalChain: A Blockchain-Based Decentralized Framework for Collaborative LLM Evaluation Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization Discrete Adjoint Schr\"odinger Bridge Sampler A Statistical Framework for Alignment with Biased AI Feedback Is Flow Matching Just Trajectory Replay for Sequential Data? PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation Circuit Representations of Random Forests with Applications to XAI MemAdapter: Fast Alignment across Agent Memory Paradigms via Generative Subgraph Retrieval Learning Human-Like Badminton Skills for Humanoid Robots Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI Schr\"odinger bridge problem via empirical risk minimization Altruism and Fair Objective in Mixed-Motive Markov games When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment Gesture Matters: Pedestrian Gesture Recognition for AVs Through Skeleton Pose Evaluation Empirical Study of Observable Sets in Multiclass Quantum Classification Enhanced Food Category Recognition under Illumination-Induced Domain Shift Learning Self-Correction in Vision-Language Models via Rollout Augmentation Estimation of Fish Catch Using Sentinel-2, 3 and XGBoost-Kernel-Based Kernel Ridge Regression Do physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithm Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning Trajectory Stitching for Solving Inverse Problems with Flow-Based Models Incremental (k, z)-Clustering on Graphs GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing DNS: Data-driven Nonlinear Smoother for Complex Model-free Process Constructive conditional normalizing flows Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study We Should Separate Memorization from Copyright Retrieval Pivot Attacks in Hybrid RAG: Measuring and Mitigating Amplified Leakage from Vector Seeds to Graph Expansion Learning to Judge: LLMs Designing and Applying Evaluation Rubrics Towards Understanding Multimodal Fine-Tuning: Spatial Features Welfarist Formulations for Diverse Similarity Search Amortising Inference and Meta-Learning Priors in Neural Networks Empirically Understanding the Value of Prediction in Allocation Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders Cutting Through the Noise: On-the-fly Outlier Detection for Robust Training of Machine Learning Interatomic Potentials Understanding Dynamic Compute Allocation in Recurrent Transformers Differentiable Logical Programming for Quantum Circuit Discovery and Optimization Contrastive Learning for Diversity-Aware Product Recommendations in Retail Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching Analysis of Converged 3D Gaussian Splatting Solutions: Density Effects and Prediction Limit AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection Online monotone density estimation and log-optimal calibration Provably robust learning of regression neural networks using $\beta$-divergences MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE Learning to Coordinate via Quantum Entanglement in Multi-Agent Reinforcement Learning When do neural ordinary differential equations generalize on complex networks? Universal Coefficients and Mayer-Vietoris Sequence for Groupoid Homology Contact-Anchored Policies: Contact Conditioning Creates Strong Robot Utility Models Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving Geometric Imbalance in Semi-Supervised Node Classification Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI Kernel-based Optimally Weighted Conformal Time-Series Prediction Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Field Theory Perspective Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples Disentangled Representation Learning for Parametric Partial Differential Equations Understanding Large Language Models in Your Pockets: Performance Study on COTS Mobile Devices Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models Federated Learning Clients Clustering with Adaptation to Data Drifts Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting SoK: Blockchain-Based Decentralized AI (DeAI) DeMo: Decoupled Momentum Optimization Interpretable Generalized Additive Models for Datasets with Missing Values LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits From Features to Transformers: Redefining Ranking for Scalable Impact Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence Remasking Discrete Diffusion Models with Inference-Time Scaling Latent Domain Modeling Improves Robustness to Geographic Shifts RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Right Reward Right Time for Federated Learning Probabilistic Forecasting via Autoregressive Flow Matching ASIDE: Architectural Separation of Instructions and Data in Language Models LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks Geometric Reasoning in the Embedding Space Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections Toward Efficient Exploration by Large Language Model Agents Efficient Attention via Pre-Scoring: Prioritizing Informative Keys in Transformers Dist2ill: Distributional Distillation for One-Pass Uncertainty Estimation in Large Language Models Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures Parallel Layer Normalization for Universal Approximation FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning Meta-reinforcement learning with minimum attention Out of the Shadows: Exploring a Latent Space for Neural Network Verification Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Understanding Generalization in Diffusion Distillation via Probability Flow Distance Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems Rectified Flows for Fast Multiscale Fluid Flow Modeling Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint Can We Infer Confidential Properties of Training Data from LLMs? SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts Interpretability and Generalization Bounds for Learning Spatial Physics These Are Not All the Features You Are Looking For: A Fundamental Bottleneck in Supervised Pretraining mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards Predicting Graph Structure via Adapted Flux Balance Analysis XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation Einstein Fields: A Neural Perspective To Computational General Relativity NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data From SGD to Spectra: A Theory of Neural Network Weight Dynamics A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing Benchmarking Large Language Models for Geolocating Colonial Virginia Land Grants SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML DyMixOp: A Neural Operator Designed from a Complex Dynamics Perspective with Local-Global Mixing for Solving PDEs Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler Efficient Graph Knowledge Distillation from GNNs to Kolmogorov--Arnold Networks via Self-Attention Dynamic Sampling RefineStat: Efficient Exploration for Probabilistic Program Synthesis Initialization Schemes for Kolmogorov-Arnold Networks: An Empirical Study Density-Aware Farthest Point Sampling CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context d2: Improved Techniques for Training Reasoning Diffusion Language Models Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity Functional Critics Are Essential for Actor-Critic: From Off-Policy Stability to Efficient Exploration LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region A Review on Single-Problem Multi-Attempt Heuristic Optimization GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration PAC-Bayesian Reinforcement Learning Trains Generalizable Policies Transformer-based Learning-to-Optimize Approach for Scalable and Generalizable Beamforming Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees ActivationReasoning: Logical Reasoning in Latent Activation Spaces MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds GPTOpt: Teaching LLMs to do Interpretable Black-Box Optimization EVINGCA: Adaptive Graph Clustering with Evolving Neighborhood Statistics Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse Test-Time Iterative Error Correction for Efficient Diffusion Models Peeling Context from Cause for Molecular Property Prediction FMMI: Flow Matching Mutual Information Estimation Knowing What You Know Is Not Enough: Large Language Model Confidences Don't Align With Their Actions Twice Sequential Monte Carlo for Tree Search LogSyn: A Few-Shot LLM Framework for Structured Insight Extraction from Unstructured General Aviation Maintenance Logs Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation How to Purchase Labels? A Cost-Effective Approach Using Active Learning Markets How to Correctly Report LLM-as-a-Judge Evaluations Towards Active Synthetic Data Generation for Finetuning Language Models Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution RNNs perform task computations by dynamically warping neural representations China Regional 3km Downscaling Based on Residual Corrective Diffusion Model Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics Investigating Data Pruning for Pretraining Biological Foundation Models at Scale FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting Dynamic Rank Reinforcement Learning for Adaptive Low-Rank Multi-Head Self Attention in Large Language Models Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic Perspective Enhancing Newton-Kaczmarz training of Kolmogorov-Arnold networks through concurrency PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models TS-Arena -- A Live Forecast Pre-Registration Platform Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks Trust Region Masking for Long-Horizon LLM Reinforcement Learning Categorical Reparameterization with Denoising Diffusion models RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data HEEGNet: Hyperbolic Embeddings for EEG Distribution-Guided and Constrained Quantum Machine Unlearning A Dual Pipeline Machine Learning Framework for Automated Multi Class Sleep Disorder Screening Using Hybrid Resampling and Ensemble Learning A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning Free-RBF-KAN: Kolmogorov-Arnold Networks with Adaptive Radial Basis Functions for Efficient Function Learning On Evaluation of Unsupervised Feature Selection for Pattern Classification BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning Global Optimization By Gradient from Hierarchical Score-Matching Spaces Report for NSF Workshop on AI for Electronic Design Automation PUNCH: Physics-informed Uncertainty-aware Network for Coronary Hemodynamics Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction between Feature Alignment and Target Fitting Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic Decoupled Split Learning via Auxiliary Loss Safe Exploration via Policy Priors Membership Inference Attacks Against Fine-tuned Diffusion Language Models Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction Elastic Spectral State Space Models for Budgeted Inference RAPTOR-AI for Disaster OODA Loop: Hierarchical Multimodal RAG with Experience-Driven Agentic Decision-Making PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases Provable Cooperative Multi-Agent Exploration for Reward-Free MDPs Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions EvoMU: Evolutionary Machine Unlearning Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models Decoupling Generalizability and Membership Privacy Risks in Neural Networks Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks Semantics-Aware Generative Latent Data Augmentation for Learning in Low-Resource Domains Online Vector Quantized Attention Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models SAFE: Stable Alignment Finetuning with Entropy-Aware Predictive Control for Reinforcement Learning from Human Feedback (RLHF) NeuroCanvas: VLLM-Powered Robust Seizure Detection by Reformulating Multichannel EEG as Image Momentum Attention: The Physics of In-Context Learning and Spectral Forensics for Mechanistic Interpretability SLAY: Geometry-Aware Spherical Linearized Attention with Yat-Kernel EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization A Unified Framework for Rethinking Policy Divergence Measures in GRPO Alignment Verifiability in Large Language Models: Normative Indistinguishability under Behavioral Evaluation f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment Mechanisms of AI Protein Folding in ESMFold A Fast and Generalizable Fourier Neural Operator-Based Surrogate for Melt-Pool Prediction in Laser Processing Refining the Information Bottleneck via Adversarial Information Separation Temperature Scaling Attack Disrupting Model Confidence in Federated Learning Improved Sampling Schedules for Discrete Diffusion Models Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts Vision Transformer Finetuning Benefits from Non-Smooth Components Robustness Beyond Known Groups with Low-rank Adaptation CoinPress: Practical Private Mean and Covariance Estimation Non-negative matrix factorization algorithms generally improve topic model fits A Global Optimization Algorithm for K-Center Clustering of One Billion Samples Estimating the Value of Evidence-Based Decision Making YaRN: Efficient Context Window Extension of Large Language Models Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning Knowledge-Centric Metacognitive Learning Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets Large Deviations of Gaussian Neural Networks with ReLU activation Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance On the Computational Efficiency of Bayesian Additive Regression Trees: An Asymptotic Analysis Tree Search for Language Model Agents Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry Q-Learning under Finite Model Uncertainty Note on computational complexity of the Gromov-Wasserstein distance Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges A High Resolution Urban and Rural Settlement Map of Africa Using Deep Learning and Satellite Imagery Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings End to End Collaborative Synthetic Data Generation The Oracle Complexity of Simplex-based Matrix Games Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening Solving Optimal Execution Problems via In-Context Operator Networks Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help Step by Step: Adaptive Gradient Descent for Training L-Lipschitz Neural Networks Summaries as Centroids for Interpretable and Scalable Text Clustering Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models The Structural Complexity of Matrix-Vector Multiplication Research Superalignment Should Advance Now with Alternating Competence and Conformity Optimization Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples Sparsified-Learning for High-Dimensional Heavy-Tailed Locally Stationary Time Series, Concentration and Oracle Inequalities Differentially Private Geodesic Regression Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning Approximating Signed Distance Fields With Sparse Ellipsoidal Radial Basis Function Networks: A Dynamic Multi-Objective Optimization Strategy Accelerated Markov Chain Monte Carlo Algorithms on Discrete States Fast and Simple Densest Subgraph with Predictions Traceable Black-box Watermarks for Federated Learning Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models Liouville PDE-based sliced-Wasserstein flow Capability-Based Scaling Trends for LLM-Based Red-Teaming Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling Task-Conditioned Probing Reveals Brain-Alignment Patterns in Instruction-Tuned Multimodal LLMs Scaling Laws for Uncertainty in Deep Learning Revisiting Transformers with Insights from Image Filtering and Boosting Toward Inherently Robust VLMs Against Visual Perception Attacks Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions Modern approaches to building interpretable models of the property market using machine learning on the base of mass cadastral valuation The Condition Number as a Scale-Invariant Proxy for Information Encoding in Neural Units Language Bottleneck Models for Qualitative Knowledge State Modeling Topological Signatures vs. Gradient Histograms: A Comparative Study for Medical Image Classification MedVAL: Toward Expert-Level Medical Text Validation with Language Models Improved sampling algorithms and functional inequalities for non-log-concave distributions TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing The Relative Instability of Model Comparison with Cross-validation GRIT: Graph-Regularized Logit Refinement for Zero-shot Cell Type Annotation Learning Geometric-Aware Quadrature Rules for Functional Minimization Predictability Enables Parallelization of Nonlinear State Space Models Practical Feasibility of Gradient Inversion Attacks in Federated Learning Repeating versus Nonrepeating Fast Radio Bursts: A Deep Learning Approach to Morphological Characterization Lifelong Learning with Behavior Consolidation for Vehicle Routing No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping HEART: Emotionally-Driven Test-Time Scaling of Language Models CHAI: Command Hijacking against embodied AI Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism Quantum generative model on bicycle-sharing system and an application MS-Mix: Unveiling the Power of Mixup for Multimodal Sentiment Analysis Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences TritonRL: Training LLMs to Think and Code Triton Without Cheating Beating the Winner's Curse via Inference-Aware Policy Optimization Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-Evolution Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from Low-Dose Computed Tomography UAV-Assisted Resilience in 6G and Beyond Network Energy Saving: A Multi-Agent DRL Approach Training Language Models to Explain Their Own Computations Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents Reasoning With a Star: A Heliophysics Dataset and Benchmark for Agentic Scientific Reasoning Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding Randomized Masked Finetuning: An Efficient Way to Mitigate Memorization of PIIs in LLMs Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond Two-dimensional RMSD projections for reaction path visualization and validation Data-Chain Backdoor: Do You Trust Diffusion Models as Generative Data Supplier? Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of size-controlled Cu Nanoparticles Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance Block-Recurrent Dynamics in Vision Transformers InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization Calibrated Multi-Level Quantile Forecasting Compressed code: the hidden effects of quantization and distillation on programming tokens From No-Regret to Strategically Robust Learning in Repeated Auctions Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks Challenges and Research Directions for Large Language Model Inference Hardware Token-Level LLM Collaboration via FusionRoute Local EGOP for Continuous Index Learning Enhanced Climbing Image Nudged Elastic Band method with Hessian Eigenmode Alignment Small Gradient Norm Regret for Online Convex Optimization An Elementary Approach to Scheduling in Generative Diffusion Models Federated Balanced Learning Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models Task-free Adaptive Meta Black-box Optimization Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data Optimal Decision-Making Based on Prediction Sets Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator Efficient Softmax Reformulation for Homomorphic Encryption via Moment Generating Function FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning MACD: Model-Aware Contrastive Decoding via Counterfactual Data Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation ZKBoost: Zero-Knowledge Verifiable Training for XGBoost Lyapunov Constrained Soft Actor-Critic (LC-SAC) using Koopman Operator Theory for Quadrotor Trajectory Tracking Learning fermionic linear optics with Heisenberg scaling and physical operations Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning Reducing the Complexity of Matrix Multiplication to $O(N^2log_2N)$ by an Asymptotically Optimal Quantum Algorithm PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling Deep networks learn to parse uniform-depth context-free languages from local statistics Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models Diffusion-State Policy Optimization for Masked Diffusion Language Models Forest canopy height estimation from satellite RGB imagery using large-scale airborne LiDAR-derived training data and monocular depth estimationArxiv cs.AI
LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation ST-Raptor: An Agentic System for Semi-Structured Table QA DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents Aster: Autonomous Scientific Discovery over 20x Faster Than Existing Methods Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration? ANCHOR: Branch-Point Data Generation for GUI Agents PreFlect: From Retrospective to Prospective Reflection in Large Language Model Agents Is there "Secret Sauce'' in Large Language Model Development? From Out-of-Distribution Detection to Hallucination Detection: A Geometric View Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective BRIDGE: Predicting Human Task Completion Time From Model Performance TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents NAAMSE: Framework for Evolutionary Security Evaluation of Agents VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation Progressive Multi-Agent Reasoning for Biological Perturbation Prediction Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought? Computing the Reachability Value of Posterior-Deterministic POMDPs GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning When Is Enough Not Enough? Illusory Completion in Search Agents VERIFY-RL: Verifiable Recursive Decomposition for Reinforcement Learning in Mathematical Reasoning M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions SleepMaMi: A Universal Sleep Foundation Model for Integrating Macro- and Micro-structures Efficient Table Retrieval and Understanding with Multimodal Large Language Models ONTrust: A Reference Ontology of Trust EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge Geo-Code: A Code Framework for Reverse Code Generation from Geometric Images Based on Two-Stage Multi-Agent Evolution Humanizing AI Grading: Student-Centered Insights on Fairness, Trust, Consistency and Transparency Learning to Continually Learn via Meta-learning Agentic Memory Designs Disentangled Instrumental Variables for Causal Inference with Networked Observational Data Do Multi-Agents Dream of Electric Screens? Achieving Perfect Accuracy on AndroidWorld Through Task Decomposition Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge Emergent Misalignment is Easy, Narrow Misalignment is Hard ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Intrinsic Adaptation MemFly: On-the-Fly Memory Optimization via Information Bottleneck GCN-MPPR: Enhancing the Propagation of Message Passing Neural Networks via Motif-Based Personalized PageRank MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation Selective Fine-Tuning for Targeted and Robust Concept Unlearning MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learnin IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth Accelerating Social Science Research via Agentic Hypothesization and Experimentation Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective Small Agent Group is the Future of Digital Health Structure-Aware Robust Counterfactual Explanations via Conditional Gaussian Network Classifiers Free(): Learning to Forget in Malloc-Only Reasoning Models Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling Securing Dual-Use Pathogen Data of Concern Objective Decoupling in Social Reinforcement Learning: Recovering Ground Truth from Sycophantic Majorities Interpretable Failure Analysis in Multi-Agent Reinforcement Learning Systems Initial Risk Probing and Feasibility Testing of Glow: a Generative AI-Powered Dialectical Behavior Therapy Skills Coach for Substance Use Recovery and HIV Prevention RECUR: Resource Exhaustion Attack via Recursive-Entropy Guided Counterfactual Utilization and Reflection Weak-Driven Learning: How Weak Agents make Strong Agents Stronger InfiCoEvalChain: A Blockchain-Based Decentralized Framework for Collaborative LLM Evaluation PTS-SNN: A Prompt-Tuned Temporal Shift Spiking Neural Networks for Efficient Speech Emotion Recognition Do MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design SynthAgent: A Multi-Agent LLM Framework for Realistic Patient Simulation -- A Case Study in Obesity with Mental Health Comorbidities Puda: Private User Dataset Agent for User-Sovereign and Privacy-Preserving Personalized AI Toward Formalizing LLM-Based Agent Designs through Structural Context Modeling and Semantic Dynamics Analysis The Vibe-Automation of Automation: A Proactive Education Framework for Computer Science in the Age of Generative AI Moral Sycophancy in Vision Language Models Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT Effect-Level Validation for Causal Discovery OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration Towards Better Evolution Modeling for Temporal Knowledge Graphs Does Your Reasoning Model Implicitly Know When to Stop Thinking? Circuit Representations of Random Forests with Applications to XAI MemAdapter: Fast Alignment across Agent Memory Paradigms via Generative Subgraph Retrieval Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains On Protecting Agentic Systems' Intellectual Property via Watermarking From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment TreeTensor: Boost AI System on Nested Data with Constrained Tree-Like Tensor Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning Dialogue Model Optimization via Agent Game and Adaptive Tree-based GRPO PRISM: A Principled Framework for Multi-Agent Reasoning via Gain Decomposition An Attention Mechanism for Robust Multimodal Integration in a Global Workspace Architecture OSCAR: Optimization-Steered Agentic Planning for Composed Image Retrieval Debate is efficient with your time Why do we Trust Chatbots? From Normative Principles to Behavioral Drivers Intermediate Results on the Complexity of STRIPS$_{1}^{1}$ Exploring SAIG Methods for an Objective Evaluation of XAI Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning Belief Offloading in Human-AI Interaction Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure The Use of AI Tools to Develop and Validate Q-Matrices Root Cause Analysis Method Based on Large Language Models with Residual Connection Structures Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning Deciding the Satisfiability of Combined Qualitative Constraint Networks Scalable Delphi: Large Language Models for Structured Risk Estimation Efficient and Stable Reinforcement Learning for Diffusion Language Models CausalT5K: Diagnosing and Informing Refusal for Trustworthy Causal Reasoning of Skepticism, Sycophancy, Detection-Correction, and Rung Collapse CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute Digital Twin and Agentic AI for Wild Fire Disaster Management: Intelligent Virtual Situation Room stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery iGRPO: Self-Feedback-Driven LLM Reasoning Data Science and Technology Towards AGI Part I: Tiered Data Management GEBench: Benchmarking Image Generation Models as GUI Environments BERT Learns (and Teaches) Chemistry Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models Does Visual Rendering Bypass Tokenization? Investigating Script-Tokenizer Misalignment in Pixel-Based Language Models BiomechAgent: AI-Assisted Biomechanical Analysis Through Code-Generating Agents Bridging the Knowledge Void: Inference-time Acquisition of Unfamiliar Programming Languages for Coding Tasks What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools A New Mode of Teaching Chinese as a Foreign Language from the Perspective of Smart System Studied by Using Rongzhixue SurfAge-Net: A Hierarchical Surface-Based Network for Interpretable Fine-Grained Brain Age Prediction Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach Hierarchical JEPA Meets Predictive Remote Control in Beyond 5G Networks Multi-Scale Temporal Homeostasis Enables Efficient and Robust Neural Networks Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation A General Model for Retinal Segmentation and Quantification Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models Vectra: A New Metric, Dataset, and Model for Visual Quality Assessment in E-Commerce In-Image Machine Translation XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models AI for Sustainable Data Protection and Fair Algorithmic Management in Environmental Regulation Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation The Geometry of Representational Failures in Vision Language Models Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models A Comparative Study of Adversarial Robustness in CNN and CNN-ANFIS Architectures Lagged backward-compatible physics-informed neural networks for unsaturated soil consolidation analysis MENASpeechBank: A Reference Voice Bank with Persona-Conditioned Multi-Turn Conversations for AudioLLMs Stochastic Spiking Neuron Based SNN Can be Inherently Bayesian When Excellence Stops Producing Knowledge: A Practitioner's Observation on Research Funding PipeMFL-240K: A Large-scale Dataset and Benchmark for Object Detection in Pipeline Magnetic Flux Leakage Imaging VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing Interpreting Physics in Video World Models Neural Sentinel: Unified Vision Language Model (VLM) for License Plate Recognition with Human-in-the-Loop Continual Learning MTS-CSNet: Multiscale Tensor Factorization for Deep Compressive Sensing on RGB Images FADE: Selective Forgetting via Sparse LoRA and Self-Distillation Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment TACIT: Transformation-Aware Capturing of Implicit Thought Video-based Music Generation MRI Cross-Modal Synthesis: A Comparative Study of Generative Models for T1-to-T2 Reconstruction Bidirectional Reward-Guided Diffusion for Real-World Image Super-Resolution Artificial Intelligence in Open Source Software Engineering: A Foundation for Sustainability Pro-ZD: A Transferable Graph Neural Network Approach for Proactive Zero-Day Threats Mitigation LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning CALM: Class-Conditional Sparse Attention Vectors for Large Audio-Language Models The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL CodeCircuit: Toward Inferring LLM-Generated Code Correctness via Attribution Graphs Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data MosaicThinker: On-Device Visual Spatial Reasoning for Embodied AI via Iterative Construction of Space Representation Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining Evaluating Retrieval-Augmented Generation Variants for Natural Language-Based SQL and API Call Generation Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks Lemon Agent Technical Report WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark RealFin: How Well Do LLMs Reason About Finance When Users Leave Things Unsaid? Fast and Robust Likelihood-Guided Diffusion Posterior Sampling with Amortized Variational Inference scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction Extended to Reality: Prompt Injection in 3D Environments Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models ShallowJail: Steering Jailbreaks against Large Language Models Reasoning-Augmented Representations for Multimodal Retrieval Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability On Randomness in Agentic Evals Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity Mimetic Initialization of MLPs Free Energy Mixer Your Language Model Secretly Contains Personality Subnetworks Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AI An Information-Theoretic Framework for Comparing Voice and Text Explainability Long-Context Long-Form Question Answering for Legal Domain "Death" of a Chatbot: Investigating and Designing Toward Psychologically Safe Endings for Human-AI Relationships BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron Exactly Computing do-Shapley Values DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling Multimodal Enhancement of Sequential Recommendation Sequences as Nodes for Contrastive Multimodal Graph Recommendation Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks Collaborative and Efficient Fine-tuning: Leveraging Task Similarity The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network ArcMark: Multi-bit LLM Watermark via Optimal Transport Realistic Synthetic Household Data Generation at Scale The Double-Edged Sword of Data-Driven Super-Resolution: Adversarial Super-Resolution Models Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning Cognitive algorithms and systems of episodic memory, semantic memory and their learnings aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones XShare: Collaborative in-Batch Expert Sharing for Faster MoE Inference Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation Imagining the Alien: Human Projections and Cognitive Limitations Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings Progressive Searching for Retrieval in RAG Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation KRONE: Hierarchical and Modular Log Anomaly Detection LIT-GRAPH: Evaluating Deep vs. Shallow Graph Embeddings for High-Quality Text Recommendation in Domain-Specific Knowledge Graphs Semantic Search At LinkedIn LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery Beyond Accuracy: Risk-Sensitive Evaluation of Hallucinated Medical Advice Action-to-Action Flow Matching High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation TernaryLM: Memory-Efficient Language Modeling via Native 1-Bit Quantization with Adaptive Layer-wise Scaling Advantages of Domain Knowledge Injection for Legal Document Summarization: A Case Study on Summarizing Indian Court Judgments in English and Hindi Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference AgentSys: Secure and Dynamic LLM Agents Through Explicit Hierarchical Memory Management Learning Molecular Chirality via Chiral Determinant Kernels Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Multi-Agent Systems Shape Social Norms for Prosocial Behavior Change Bridging Speech, Emotion, and Motion: a VLM-based Multimodal Edge-deployable Framework for Humanoid Robots TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning Pull Requests as a Training Signal for Repo-Level Code Editing Deriving Neural Scaling Laws from the statistics of natural language VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots MemPot: Defending Against Memory Extraction Attack with Optimized Honeypots MDL: A Unified Multi-Distribution Learner in Large-scale Industrial Recommendation through Tokenization Fine-Grained Cat Breed Recognition with Global Context Vision Transformer Beyond Core and Penumbra: Bi-Temporal Image-Driven Stroke Evolution Analysis Linguistic properties and model scale in brain encoding: from small to compressed language models Revealing the Semantic Selection Gap in DINOv3 through Training-Free Few-Shot Segmentation VISOR: VIsual Spatial Object Reasoning for Language-driven Object Navigation Gaussian Match-and-Copy: A Minimalist Benchmark for Studying Transformer Induction Cross-Camera Cow Identification via Disentangled Representation Learning How does longer temporal context enhance multimodal narrative video processing in the brain? Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling Learning to Self-Verify Makes Language Models Better Reasoners TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation Astro: Activation-guided Structured Regularization for Outlier-Robust LLM Post-Training Quantization Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning Evaluating Large Language Models for Detecting Architectural Decision Violations SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE Models AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning From Dead Pixels to Editable Slides: Infographic Reconstruction into Native Google Slides via Vision-Language Region Understanding Agent-Fence: Mapping Security Vulnerabilities Across Deep Research Agents Continuous Program Search SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation Debugging code world models Spectral Gating Networks Vision and language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning Mapping Drivers of Greenness: Spatial Variable Selection for MODIS Vegetation Indices Process-of-Thought Reasoning for Videos On the Infinite Width and Depth Limits of Predictive Coding Networks Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs The Laplacian Keyboard: Beyond the Linear Span Learnable Chernoff Baselines for Inference-Time Alignment HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification Generative Reasoning Re-ranker Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models CausalTAD: Injecting Causal Knowledge into Large Language Models for Tabular Anomaly Detection Fairness Aware Reward Optimization VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study Efficient Representations are Controllable Representations rePIRL: Learn PRM with Inverse RL for LLM Reasoning SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models TodoEvolve: Learning to Architect Agent Planning Systems SAGE: Scalable AI Governance & Evaluation Orchestrating Attention: Bringing Harmony to the 'Chaos' of Neurodivergent Learning States Direct Soft-Policy Sampling via Langevin Dynamics Rethinking Latency Denial-of-Service: Attacking the LLM Serving Framework, Not the Model Deep Variable-Length Feedback Codes GRAFT: Decoupling Ranking and Calibration for Survival Analysis Rich-ARQ: From 1-bit Acknowledgment to Rich Neural Coded Feedback Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents Incremental Mapping with Measurement Synchronization & Compression Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios Optimized Human-Robot Co-Dispatch Planning for Petro-Site Surveillance under Varying Criticalities A Kinetic-Energy Perspective of Flow Matching Bielik Guard: Efficient Polish Language Safety Classifiers for LLM Content Moderation Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty Lost in Translation? A Comparative Study on the Cross-Lingual Transfer of Composite Harms An Explainable Multi-Task Similarity Measure: Integrating Accumulated Local Effects and Weighted Fr\'echet Distance Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection DeltaKV: Residual-Based KV Cache Compression via Long-Range Similarity ForecastOcc: Vision-based Semantic Occupancy Forecasting From $O(mn)$ to $O(r^2)$: Two-Sided Low-Rank Communication for Adam in Distributed Training with Memory Efficiency ICBAC: an Intelligent Contract-Based Access Control framework for supply chain management by integrating blockchain and federated learning The Rise of Sparse Mixture-of-Experts:A Survey from Algorithmic Foundations to Decentralized Architectures and Vertical Domain Applications CyberExplorer: Benchmarking LLM Offensive Security Capabilities in a Real-World Attacking Simulation Environment FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging MIND: Benchmarking Memory Consistency and Action Control in World Models FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability-Plasticity Tradeoff Implicit Strategic Optimization: Rethinking Long-Horizon Decision-Making in Adversarial Poker Environments V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning Weak to Strong: VLM-Based Pseudo-Labeling as a Weakly Supervised Training Strategy in Multimodal Video-based Hidden Emotion Understanding Tasks Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling DICE: Disentangling Artist Style from Content via Contrastive Subspace Decomposition in Diffusion Models SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders Spectral Guardrails for Agents in the Wild: Detecting Tool Use Hallucinations via Attention Topology Large language models for spreading dynamics in complex systems Online Domain-aware LLM Decoding for Continual Domain Evolution VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval Emergent Search and Backtracking in Latent Reasoning Models Constrained Pricing under Finite Mixtures of Logit Gender and Race Bias in Consumer Product Recommendations by Large Language Models Robustness of Vision Language Models Against Split-Image Harmful Input Attacks Reliable and Responsible Foundation Models: A Comprehensive Survey DIAL-SUMMER: A Structured Evaluation Framework of Hierarchical Errors in Dialogue Summaries The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies Dreaming in Code for Curriculum Learning in Open-Ended Worlds DrugR: Optimizing Molecular Drugs through LLM-based Explicit Reasoning Sparsity-Aware Evolution for Model Merging CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes Generating Adversarial Events: A Motion-Aware Point Cloud Framework Tutti: Expressive Multi-Singer Synthesis via Structure-Level Timbre Control and Vocal Texture Modeling When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning Linearization Explains Fine-Tuning in Large Language Models Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction Inverting Data Transformations via Diffusion Sampling When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems Language Modeling and Understanding Through Paraphrase Generation and Detection PISCO: Precise Video Instance Insertion with Sparse Control Tighnari v2: Mitigating Label Noise and Distribution Shift in Multimodal Plant Distribution Prediction via Mixture of Experts and Weakly Supervised Learning Noise Stability of Transformer Models Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems Automatic Generation of Polynomial Symmetry Breaking Constraints Grokking in Linear Models for Logistic Regression SWE Context Bench: A Benchmark for Context Learning in Coding Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference Latent Reasoning with Supervised Thinking States Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection The Chicken and Egg Dilemma: Co-optimizing Data and Model Configurations for LLMs Roadmap to Quantum Aesthetics Learning Human-Like Badminton Skills for Humanoid Robots Reinforcement Learning with Backtracking Feedback Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning Altruism and Fair Objective in Mixed-Motive Markov games BiManiBench: A Hierarchical Benchmark for Evaluating Bimanual Coordination of Multimodal Large Language Models Intelligent support for Human Oversight: Integrating Reinforcement Learning with Gaze Simulation to Personalize Highlighting Optimizing Spectral Prediction in MXene-Based Metasurfaces Through Multi-Channel Spectral Refinement and Savitzky-Golay Smoothing LLMs + Security = Trouble Prism: Spectral-Aware Block-Sparse Attention Vista: Scene-Aware Optimization for Streaming Video Question Answering under Post-Hoc Queries Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approach Gesture Matters: Pedestrian Gesture Recognition for AVs Through Skeleton Pose Evaluation CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards A General Theory of Proportionality with Additive Utilities GISA: A Benchmark for General Information-Seeking Assistant GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing Stateless Yet Not Forgetful: Implicit Memory as a Hidden Channel in LLMs Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction Kissan-Dost: Bridging the Last Mile in Smallholder Precision Agriculture with Conversational IoT Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete and Hybrid Action Spaces Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs CauScale: Neural Causal Discovery at Scale We Should Separate Memorization from Copyright LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models 6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks LLaDA2.1: Speeding Up Text Diffusion via Token Editing CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation PBLean: Pseudo-Boolean Proof Certificates for Lean 4 Technosocial risks of ideal emotion recognition technologies: A defense of the (social) value of emotional expressions Zero-shot System for Automatic Body Region Detection for Volumetric CT and MR Images QUOKA: Query-Oriented KV Selection For Efficient LLM Prefill Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework On the Expressive Power of GNNs for Boolean Satisfiability Efficient Brain Extraction of MRI Scans with Mild to Moderate Neuropathology Taming Scylla: Understanding the multi-headed agentic daemon of the coding seas FreqLens: Interpretable Frequency Attribution for Time Series Forecasting Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems Addressing data annotation scarcity in Brain Tumor Segmentation on 3D MRI scan Using a Semi-Supervised Teacher-Student Framework $\texttt{lrnnx}$: A library for Linear RNNs Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity Affective Flow Language Model for Emotional Support Conversation WildReward: Learning Reward Models from In-the-Wild Human Interactions Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems Discovering Interpretable Algorithms by Decompiling Transformers to RASP FlattenGPT: Depth Compression for Transformer with Layer Flattening Understanding Dynamic Compute Allocation in Recurrent Transformers AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Whose Name Comes Up? Benchmarking and Intervention-Based Auditing of LLM-Based Scholar Recommendation Learning Potentials for Dynamic Matching and Application to Heart Transplantation Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression DeepQuali: Initial results of a study on the use of large language models for assessing the quality of user stories OmniReview: A Large-scale Benchmark and LLM-enhanced Framework for Realistic Reviewer Recommendation Gesturing Toward Abstraction: Multimodal Convention Formation in Collaborative Physical Tasks Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors pixelLOG: Logging of Online Gameplay for Cognitive Research MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents StretchTime: Adaptive Time Series Forecasting via Symplectic Attention Next Concept Prediction in Discrete Latent Space Leads to Stronger Language Models Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning From Obstacles to Etiquette: Robot Social Navigation with VLM-Informed Path Selection ARO: A New Lens On Matrix Optimization For Large Models ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense ArcFlow: Unleashing 2-Step Text-to-Image Generation via High-Precision Non-Linear Flow Distillation CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving Knowledge-Centric Metacognitive Learning Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies Tree Search for Language Model Agents Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models Research Superalignment Should Advance Now with Alternating Competence and Conformity Optimization Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization Average Reward Reinforcement Learning for Omega-Regular and Mean-Payoff Objectives Capability-Based Scaling Trends for LLM-Based Red-Teaming HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset and Benchmark Guideline Forest: Retrieval-Augmented Reasoning with Branching Experience-Induced Guidelines On Reasoning Strength Planning in Large Reasoning Models CID-GraphRAG: Enhancing Multi-Turn Dialogue Systems through Dual-Pathway Retrieval of Conversation Flow and Context Semantics Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm Prospect Theory Fails for LLMs: Revealing Instability of Decision-Making under Epistemic Uncertainty HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design Coarse-to-Fine Grounded Memory for LLM Agent Planning Certainty-Guided Reasoning in Large Language Models: A Dynamic Thinking Budget Approach Steerable Adversarial Scenario Generation through Test-Time Preference Alignment Rethinking Explainable Disease Prediction: Synergizing Accuracy and Reliability via Reflective Cognitive Architecture Correct Reasoning Paths Visit Shared Decision Pivots Lifelong Learning with Behavior Consolidation for Vehicle Routing TRACE: Learning to Compute on Circuit Graphs Agentic AI Reasoning for Mobile Edge General Intelligence: Fundamentals, Approaches, and Directions AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation The Achilles' Heel of LLMs: How Altering a Handful of Neurons Can Cripple Language Abilities OpenPhone: Mobile Agentic Foundation Models GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI Tasks BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning Massively Parallel Proof-Number Search for Impartial Games and Beyond Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance AISAC: An Integrated multi-agent System for Transparent, Retrieval-Grounded Scientific Assistance HuggingR$^{4}$: A Progressive Reasoning Framework for Discovering Optimal Model Companions UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents Reasoning With a Star: A Heliophysics Dataset and Benchmark for Agentic Scientific Reasoning Conversational No-code, Multi-agentic Disease Module Identification and Drug Repurposing Prediction with ChatDRex Agent policies from higher-order causal functions Safety Alignment of LMs via Non-cooperative Games InSPO: Unlocking Intrinsic Self-Reflection for LLM Preference Optimization Token-Level LLM Collaboration via FusionRoute VirtualEnv: A Platform for Embodied AI Research Imandra CodeLogician: Neuro-Symbolic Reasoning for Precise Analysis of Software Logic Stability as a Liability:Systematic Breakdown of Linguistic Structure in LLMs Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection OpenSec: Measuring Incident Response Agent Calibration Under Adversarial Evidence Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design Zero-Shot Statistical Downscaling via Diffusion Posterior Sampling Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning MACD: Model-Aware Contrastive Decoding via Counterfactual Data Beyond Quantity: Trajectory Diversity Scaling for Code Agents AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation Reactive Knowledge Representation and Asynchronous Reasoning Generative Ontology: When Structured Knowledge Learns to Create TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning From Features to Actions: Explainability in Traditional and Agentic AI Systems AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents Playing 20 Question Game with Policy-Based Reinforcement Learning YaRN: Efficient Context Window Extension of Large Language Models DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets Q-Learning under Finite Model Uncertainty Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Field Theory Perspective Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems RARe: Retrieval Augmented Retrieval with In-Context Examples Software Performance Engineering for Foundation Model-Powered Software Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting SoK: Blockchain-Based Decentralized AI (DeAI) DeMo: Decoupled Momentum Optimization Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights Rigor, Reliability, and Reproducibility Matter: A Decade-Scale Survey of 572 Code Benchmarks Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts Right Reward Right Time for Federated Learning Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples Achieving Unanimous Consensus Through Multi-Agent Deliberation Towards an Understanding of Context Utilization in Code Intelligence Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Toward Efficient Exploration by Large Language Model Agents Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs Dist2ill: Distributional Distillation for One-Pass Uncertainty Estimation in Large Language Models Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models PiFlow: Principle-Aware Scientific Discovery with Multi-Agent Collaboration Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Can NeRFs See without Cameras? Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint Task-Conditioned Probing Reveals Brain-Alignment Patterns in Instruction-Tuned Multimodal LLMs Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models Language Bottleneck Models for Qualitative Knowledge State Modeling These Are Not All the Features You Are Looking For: A Fundamental Bottleneck in Supervised Pretraining mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards MedVAL: Toward Expert-Level Medical Text Validation with Language Models Sequential Attention-based Sampling for Histopathological Analysis DRAGOn: Designing RAG On Periodically Updated Corpus XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation Evolution of Fear and Social Rewards in Prey-Predator Relationship NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data "PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models Efficient Attention Mechanisms for Large Language Models: A Survey A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Control Hyperspectral Imaging Benchmarking Large Language Models for Geolocating Colonial Virginia Land Grants DegDiT: Controllable Audio Generation with Dynamic Event Graph Guided Diffusion Transformer Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS Practical Feasibility of Gradient Inversion Attacks in Federated Learning DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear Probes Vibe Coding for Product Design: Understanding Product Team Members' Perceptions of AI-Assisted Design and Development Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity Functional Critics Are Essential for Actor-Critic: From Off-Policy Stability to Efficient Exploration Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction-Reasoning Synergy Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Emotion-Aligned Generation in Diffusion Text to Speech Models via Preference-Guided Optimization CHAI: Command Hijacking against embodied AI Copy-Paste to Mitigate Large Language Model Hallucinations Towards Open-Ended Discovery for Low-Resource NLP Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading Deep Generative Model for Human Mobility Behavior VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards SHERLOCK:Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration PAC-Bayesian Reinforcement Learning Trains Generalizable Policies Transformer-based Learning-to-Optimize Approach for Scalable and Generalizable Beamforming Paper Copilot: Tracking the Evolution of Peer Review in AI Conferences What Layers When: Learning to Skip Compute in LLMs with Residual Gates ActivationReasoning: Logical Reasoning in Latent Activation Spaces The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective GPTOpt: Teaching LLMs to do Interpretable Black-Box Optimization BudgetMem: Learning Selective Memory Policies for Cost-Efficient Long-Context Processing in Language Models Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-Evolution IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from Low-Dose Computed Tomography Training Language Models to Explain Their Own Computations MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models Twice Sequential Monte Carlo for Tree Search MOTION: ML-Assisted On-Device Low-Latency Motion Recognition Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution Training Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes China Regional 3km Downscaling Based on Residual Corrective Diffusion Model SoK: Trust-Authorization Mismatch in LLM Agent Interactions Investigating Data Pruning for Pretraining Biological Foundation Models at Scale Data-Chain Backdoor: Do You Trust Diffusion Models as Generative Data Supplier? Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance Block-Recurrent Dynamics in Vision Transformers TS-Arena -- A Live Forecast Pre-Registration Platform SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks Trust Region Masking for Long-Horizon LLM Reinforcement Learning Understanding Emotion in Discourse: Recognition Insights and Linguistic Patterns for Generation The Refutability Gap: Challenges in Validating Reasoning by Large Language Models HEEGNet: Hyperbolic Embeddings for EEG Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks Challenges and Research Directions for Large Language Model Inference Hardware A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control 3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising Moonworks Lunara Aesthetic Dataset On Evaluation of Unsupervised Feature Selection for Pattern Classification Generating metamers of human scene understanding Report for NSF Workshop on AI for Electronic Design Automation Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction between Feature Alignment and Target Fitting Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic Bridging Gulfs in UI Generation through Semantic Guidance Decoupled Split Learning via Auxiliary Loss Safe Exploration via Policy Priors NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference Membership Inference Attacks Against Fine-tuned Diffusion Language Models Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces Solver-in-the-Loop: MDP-Based Benchmarks for Self-Correction and Behavioral Rationality in Operations Research SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing Task-free Adaptive Meta Black-box Optimization Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning Reinforcement Learning-Based Co-Design and Operation of Chiller and Thermal Energy Storage for Cost-Optimal HVAC Systems How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs Multi-Agent Teams Hold Experts Back OLion: Approaching the Hadamard Ideal by Intersecting Spectral and $\ell_{\infty}$ Implicit Biases Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority TxRay: Agentic Postmortem of Live Blockchain Attacks From Pragmas to Partners: A Symbiotic Evolution of Agentic High-Level Synthesis Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems EvoMU: Evolutionary Machine Unlearning Decoupling Generalizability and Membership Privacy Risks in Neural Networks ReasonEdit: Editing Vision-Language Models using Human Reasoning UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Semantics-Aware Generative Latent Data Augmentation for Learning in Low-Resource Domains Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection Structural shifts in institutional participation and collaboration within the AI arXiv preprint research ecosystem Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models Improving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization Momentum Attention: The Physics of In-Context Learning and Spectral Forensics for Mechanistic Interpretability SLAY: Geometry-Aware Spherical Linearized Attention with Yat-Kernel ASA: Training-Free Representation Engineering for Tool-Calling Agents Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization A Unified Framework for Rethinking Policy Divergence Measures in GRPO Alignment Verifiability in Large Language Models: Normative Indistinguishability under Behavioral Evaluation Exploring AI-Augmented Sensemaking of Patient-Generated Health Data: A Mixed-Method Study with Healthcare Professionals in Cardiac Risk Reduction Bagging-Based Model Merging for Robust General Text Embeddings Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models Temperature Scaling Attack Disrupting Model Confidence in Federated Learning Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement LearningGithub Trending (Python)
OpenBMB/MiniCPM-o hsliuping/TradingAgents-CN exo-explore/exo openai/skills mealie-recipes/mealie DrewThomasson/ebook2audiobook ulab-uiuc/LLMRouter public-apis/public-apis HKUDS/LightRAG IAmTomShaw/f1-race-replay Shubhamsaboo/awesome-llm-apps Polymarket/agents hacksider/Deep-Live-Cam ComposioHQ/awesome-claude-skills p-e-w/heretic google/langextract chenyme/grok2api resemble-ai/chatterboxGithub Trending (C)
microsoft/mimalloc obsproject/obs-studio bol-van/zapret2 HarbourMasters/Shipwright lz4/lz4 tmux/tmux php/php-src HarbourMasters/SpaghettiKart ProtonVPN/android-app remzi-arpacidusseau/ostep-projects HandBrake/HandBrake mpv-player/mpv curl/curl bol-van/zapret raspberrypi/pico-examples HarbourMasters/2ship2harkinianNature
Tree rings and salt lakes give clues about ancient rainfall Internet blackout: Iran’s academic shutdown Preserving water under megacities is crucial — and urgent Publishing less won’t save the research system Marine protection in the Azores: a triumph for conservation and sustainability Dozens of researchers will move to France from US following high-profile bid to lure talent How to rescue the aid industry: focus on conflict prevention, not just relief China’s biotech boom: why the nation must collaborate to stay ahead Public-speaking tips from the experts: what scientists can learn from comics, musicians and actors Lab morale got you down? Try a handbook What can I do if my idea has been plagiarized? Jupiter gets downsized — and squashed My mission to make life more user friendly for the disability community Daily briefing: The dark side of the battery boom The dark side of green technology: what do electric vehicles really cost? Coffee linked to slower brain ageing in study of 130,000 people Measles is raging worldwide: are you at risk? How to deal with the survey-taking AI agents that threaten to upend social science Author Correction: Environmentally driven immune imprinting protects against allergy Super-sniffer aeroplane finds oil fields’ hidden emissions Briefing Chat: 'External lungs' keep man alive for 48 hours until transplant Universities in exile: displaced scholars count the costs of starting afresh Daily briefing: Bonobo’s tea party is first demonstration of pretend play in a non-human OpenClaw AI chatbots are running amok — these scientists are listening in Cheap AI chatbots transform medical diagnoses in places with limited care Epstein files reveal deeper ties to scientists than previously known US applications for prestigious European research grants surge ‘We need to dismantle the stigma of alcohol dependence in academia’ Publisher Correction: Colibactin-driven colon cancer requires adhesin-mediated epithelial binding Author Correction: PHGDH heterogeneity potentiates cancer cell dissemination and metastasis Not just a chip off the old block: nanoparticles reveal odd traits This bonobo had a pretend tea party — showing make believe isn’t just for humans These mysterious ridges could be the secret to younger skin Beetle is locked in to an eternal dance ― with an ant Daily briefing: Tumours use neurons as hotline to the brain First ‘practical PhDs’ awarded in China — for products rather than papers NASA’s latest telescope is a feat of early-career leadership Is UK science in jeopardy? Huge funding reforms spark chaos and anxiety Author Correction: Cotranslational assembly of protein complexes in eukaryotes revealed by ribosome profiling These mysterious ridges could help skin regenerate A universal concept for melting in mantle upwellings Atlas-guided discovery of transcription factors for T cell programming Regulatory grammar in human promoters uncovered by MPRA-based deep learning Biofluid biomarkers in Alzheimer’s disease and other neurodegenerative dementias PtdIns(3,5)P2 is an endogenous ligand of STING in innate immune signalling Atmospheric H2 variability over the past 1,100 years Large-scale analogue quantum simulation using atom dot arrays Synthesizing scientific literature with retrieval-augmented language models Discovery Learning predicts battery cycle life from minimal experiments Bacterial immune activation via supramolecular assembly with phage triggers Signatures of fractional charges via anyon–trions in twisted MoTe2 A pore-forming antiphage defence is activated by oligomeric phage proteins Imaging a terahertz superfluid plasmon in a two-dimensional superconductor Parkinson’s disease as a somato-cognitive action network disorder Phenome-wide analysis of copy number variants in 470,727 UK Biobank genomes Tumour–brain crosstalk restrains cancer immunity via a sensory–sympathetic axis Contemporaneous mobile- and stagnant-lid tectonics on the Hadean Earth Single-molecule dynamics of the TRiC chaperonin system in vivo ZFTA–RELA ependymomas make itaconate to epigenetically drive fusion expression Spin-wave band-pass filters for 6G communication Imaging the sub-moiré potential using an atomic single electron transistor Regulation of STING activation by phosphoinositide and cholesterol Cleavage of mRNAs by a minority of pachytene piRNAs improves sperm fitness Resolving intervalley gaps and many-body resonances in moiré superconductors Activated ATF6α is a hepatic tumour driver restricting immunosurveillance Rete ridges form via evolutionarily distinct mechanisms in mammalian skin Mosquito–capsid interactions contribute to flavivirus vector specificity Integrated structural dynamics uncover a new B12 photoreceptor activation mode Efficient near-telomere-to-telomere assembly of nanopore simplex reads Measuring spin correlation between quarks during QCD confinement Chemical capture of diazo metabolites reveals biosynthetic hydrazone oxidation AI research deluge: why one conference is asking authors to rank their own papers The smart sensors improving the world’s biggest cities Innovative CAR-T therapy destroys cancer cells without dangerous side effects Biodiversity conservation has an evidence problem — it’s time to fix itCNN
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
The FBI seizure of Georgia 2020 election ballots relies on debunked claims Federal judge acknowledges 'abusive workplace' in court order Top 5 takeaways from the House immigration oversight hearing A historic day for U.S. cross-country skiing, but Shiffin's Olympic struggles continue Snowboarder Chloe Kim is chasing an Olympic gold three-peat with a torn labrum Pakistan-Afghanistan border closures paralyze trade along a key route Malinowski concedes to Mejia in Democratic House special primary in New Jersey A daughter reexamines her own family story in 'The Mixed Marriage Project' FBI releases photos and video of potential suspect in Guthrie disappearance Reporter's notebook: A Dutch speedskater and a U.S. influencer walk into a bar …The Atlantic
The Guthrie Case Is a Made-For-TV Horror Trump Couldn’t Save Crypto From This Crash Trump’s Gaza Plans Are Profoundly Unserious Winter Olympics Photo of the Day: Wipeout on the Ice Today’s Atlantic Trivia: Where on Earth Is Ashgabat? The Christian Influencers Protecting Their Peace What Spielberg, Lucas, and Coppola Got Right The New Laser That Can Take Down Aircraft The Poet Laureate of Madness The Novel as Extended Op-Ed The Atlantic’s March Cover: Josh Tyrangiel on AI and the Future of Work—“What’s the Worst That Could Happen?” The One Tiny Problem With Trump’s Affordability Agenda Please, Not Another Kennedy A Foreign Policy Worse Than Regime Change America Isn’t Ready for What AI Will Do to Jobs Can Instagram Ruin Your Life? The Jury Will Decide. Pete Hegseth’s Attack on Harvard Winter Olympics Photo of the Day: A Midair Celebration An Erotically Untamed Take on Wuthering Heights When the Two Sides of the Culture War Meet What the Seahawks Did to Win the Super Bowl Finally, a Halftime Show That Represents Real America! America’s Annoyance Economy Is Growing Does America Really Want to Pick a Fight With Greenland? How America Got So SickVox
France’s extremely talented and extremely controversial ice dancers, explained The Epstein files might bring down a government. Just not the US government. Woke isn’t dead. Bad Bunny’s halftime show proved it. Is MAGA pushing the Catholic Church to the left? A world without flu is possible Meet the unbearably cute patients at this one-of-a-kind hospital for bats The MAGA court decision that just supercharged ICE Why American “quad god” Ilia Malinin skates like no one else How to train yourself to enjoy winter Just how healthy is Donald Trump, really?Al Jazeera
Venezuela’s National Assembly chief rules out new presidential election Palestine urges ‘powerful partners’ to stop Israel’s West Bank ‘annexation’ Will Israel annex the occupied West Bank? Jeffrey Epstein’s ‘one single cause’: Israel Trump threatens Iran with ‘something very tough’ if US demands are not met Egypt’s parliament backs economy-focused cabinet reshuffle Will any countries take action to stop Israel’s West Bank annexation? Standing with Epstein victims, Schumer introduces ‘Virginia’s law’ People climb from windows of burning campus building in Dakar US imposes new Hezbollah sanctions targeting gold exchange firm Why is a moderate Democrat’s primary loss being called an AIPAC backfire? Why you’re getting less for your money Facing a mercurial Trump, countries scramble to forge new alliances EU votes to allow deportation of migrants to ‘safe’ third countries Paramount expands offer for Warner Bros amid hostile takeover bid Zimbabwe cabinet approves plan to extend Mnangagwa’s rule till 2030 US Commerce Secretary Lutnick downplays Epstein ties amid resignation calls Irish comedian Tadhg Hickey shares why he advocates for Palestine Protests erupt in New Delhi over Indian PM’s name in Epstein files Pakistan beat USA to avenge T20 World Cup upset Netanyahu says he’ll present ‘principles’ for Iran talks to Trump What happens when Netanyahu visits Trump? A look at his past six US trips T20 World Cup: India vs Pakistan match confirmation delights teams, fans What were Jeffrey Epstein’s links to Israel? Netanyahu heads to US for talks with Trump on Iran, GazaArs Technica
SpaceX's next-gen Super Heavy booster aces four days of "cryoproof" testing Archive.today CAPTCHA page executes DDoS; Wikipedia considers banning site Yet another co-founder departs Elon Musk's xAI Dewormer ivermectin as cancer cure? RFK Jr.'s NIH funds "absurd" study. Windows' original Secure Boot certificates expire in June—here's what you need to do Upgraded Google safety tools can now find and remove more of your personal info The Kia PV5 electric van combines futuristic looks and thoughtful design Alphabet selling very rare 100-year bonds to help fund AI investment After Republican complaints, judicial body pulls climate advice Just look at Ayaneo's absolute unit of a Windows gaming "handheld" No humans allowed: This new space-based MMO is designed exclusively for AI agents Google experiments with locking YouTube Music lyrics behind paywall Trump FCC investigates The View, reportedly says "fake news" will be punished Discord faces backlash over age checks after data breach exposed 70,000 IDs NIH head, still angry about COVID, wants a second scientific revolution Disclosure Day Super Bowl trailer: Could it be... aliens? Ive and Newson bring old-school charm to Ferrari's first EV interior Report: Imminent Apple hardware updates include MacBook Pro, iPads, and iPhone 17e Why would Elon Musk pivot from Mars to the Moon all of a sudden? A Project Hail Mary final trailer? Yes please.Slashdot
White House Eyes Data Center Agreements Amid Energy Price Spikes Lost Soviet Moon Lander May Have Been Found Google's Personal Data Removal Tool Now Covers Government IDs The US Is Flirting With Its First-Ever Population Decline Microsoft Begins the First-Ever Secure Boot Certificate Swap Across Windows Ecosystem A Bitcoin Blunder for the Ages: $40 Billion Accidentally Given Away Apple and Google Agree To Change App Stores After 'Effective Duopoly' Claim The Big Money in Today's Economy Is Going To Capital, Not Labor NYC Private School Tuition Breaks $70,000 Milestone for Fall Software Poses 'All-Time' Risk To Speculative Credit, Deutsche Bank Warns 2 To 3 Cups of Coffee a Day May Reduce Dementia Risk. But Not if It's Decaf. Deepfake Fraud Taking Place On an Industrial Scale, Study Finds Electric Cars Are Making It Easier To Breathe, Study Finds Kalshi Prediction Markets Match or Beat Traditional Forecasting Tools For Macro Indicators, NBER Study Finds Linux 7.0 Kernel Confirmed By Linus Torvalds, Expected In Mid-April 2026Gizmodo
If You’re Shopping for a Discounted Car at a Dealer Lately, It Might Be Lightly… Totaled 10 Years Ago, ‘Deadpool’ Made Wade Wilson the People’s Clown Checking in on Polymarket: Bets on Christ’s Return Jump on Bets That Bets on Christ’s Return Will Jump Spotify Founder’s Drone Startup Wins German Military Contracts ‘Knight of the Seven Kingdoms’ Is Using the ‘Game of Thrones’ Theme Better Than ‘House of the Dragon’ Ever Did Google Now Lets Users Remove Explicit Images and Other Personal Info From Search Results The Trump Phone Looks as Bad as It Sounds Olympic Figure Skaters Get Heat for Using AI-Generated Music Dan Trachtenberg’s Paramount Deal Doesn’t Kill His ‘Predator’ Plans Largest Dictionary of English Slang Is Now Free Online to Help You Talk Like a Zoomer The Brendan Fraser-Rachel Weisz ‘Mummy’ Reunion Is Coming in 2028 Pensions Bet That Google Will Still Be Raking in Cash a Hundred Years From Now Mike Flanagan Has His Next Stephen King Adaptation: ‘The Mist’ ‘Ello Luv, Elsa Bloodstone Joins ‘Marvel Rivals’ This Week If You Want To Keep Using Your HomePod, Update It Now Trump Just Screwed the Atlantic’s Only Marine Monument Why the ‘Spider-Noir’ Show Stars Ben Reilly and Not Peter Parker Sam Altman and Jony Ive’s AI Gadget Just Hit Another Eyebrow-Raising Roadblock Elon Musk’s xAI Can’t Stop Bleeding Cofounders Scientists Spot First Known Lava Tube on VenusSmithsonian Magazine
You Can Stay in Catherine Earnshaw's Bright Pink Bedroom, Straight Out of the New 'Wuthering Heights' Movie Jewel Thieves Dropped This Crushed Crown as They Fled the Louvre. Now, the Historic Headdress Will Be Restored to Its Former Glory When Human Activity Dropped During Covid-19, Methane Emissions Surprisingly Spiked. Now, a Study Points to Two Reasons Why This Scientist Brewed and Drank His Own 'Vaccine Beer' to Combat a Dangerous Virus. It Seems to Have Worked How a Little-Known French Region Safeguarded the Louvre's Treasures During World War II Masked Thieves Steal Statue of British Boxer Teddy Baldock From a London Park, Leaving Only His Boots Behind Testing Menstrual Blood for HPV Might Provide a Less Invasive Way to Screen for Cervical Cancer, a New Study Suggests A White Historian Claimed That Black People 'Had No History.' This Trailblazing Scholar Dedicated His Life to Proving Otherwise These Parasitic Beetles Mimic the Smell of Flowers So They Can Trick Bees and Raid Their Nests, New Research Suggests Physicists Create Homemade Cosmic Dust, Which Could Help Them Figure Out How the Building Blocks of Life First Reached EarthInfoQ
GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering BellSoft Survey Finds Container Security Practices Are Undermining Developers’ Own Goals Windsurf Introduces Arena Mode to Compare AI Models During Development Article: Jakarta EE 12 Milestone 2: Advent of the Data Age Along with Consistency and Configuration Waku: The Minimal React Framework Reaches Alpha Presentation: Are You Missing a Data Frame? The Power of Data Frames in Java Uber Moves In-House Search Indexing to Pull-Based Ingestion in OpenSearch Article: Building LLMs in Resource-Constrained Environments: A Hands-On Perspective Xcode 26.3 Brings Integrated Agentic Coding for Anthropic Claude Agent and OpenAI Codex Podcast: [Video Podcast] Improving Valkey with Madelyn Olson Cloudflare Launches Vertical Microfrontend Template for Path-Based Edge Routing Next Moca Releases Agent Definition Language as an Open Source Specification Java News Roundup: GlassFish 8.0, OmniHai 1.0, LangChain4j, Infinispan, Hibernate, JobRunr How CNAME Ordering in RFC Specs Caused Cloudflare 1.1.1.1 OutageDynomight
Heritability of human life span is about 50% when heritability is redefined to be something different 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 maneuverMarginal Revolution
Recursive self-improvement from AI models Tuesday assorted links The politics of using AI Poverty reduction is slowing down This security will be pricing *something* (but what?) For a long time I have been predicting the return of phrenology Monday assorted links Why is Singapore no longer “cool”? Bryan Caplan on immigration backlash *Codex* Sunday assorted links You gotta’ believe! *The School of Night* A new hypothesis (from my email) Sebastian Galiani on the Marginal RevolutionNot Boring
Weekly Dose of Optimism #179 Raising a Special Little AI Weekly Dose of Optimism #178 Weekly Dose of Optimism #177 The Venezuela Opportunity 16 Lessons on Selling (and Life) from My 5-Year-Old Weekly Dose of Optimism #176 Many Small Steps for Robots, One Giant Leap for Mankind Weekly Dose of Optimism #175 a16z: The Power Brokers welcome to not boring world My 5 Favorite Not Boring Essays of 2025 Weekly Dose of Optimism #174 Weekly Dose of Optimism #173 Hardware is a Fruit Weekly Dose of Optimism #172 Cable Caballero Weekly Dose of Optimism #171 Weekly Dose of Optimism #170 The Company as a Machine for Doing StuffCoding Horror
Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up? There is no longer any such thing as Computer SecurityNASA Breaking News
Curiosity Blog, Sols 4798-4803: Back for More Science CubeSats’ Missions Begin Grants NASA’s Hubble Captures Light Show Around Rapidly Dying Star Core Survey by NASA’s Roman Mission Will Unveil Universe’s Dark Side Winter Grips Japan What You Need to Know About NASA’s SpaceX Crew-12 Mission Space Station Research Contributes to Artemis II Icy Hudson River A Grand, Snow-Rimmed CanyonQuanta Magazine
Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain Long-Sought Proof Tames Some of Math’s Unruliest Equations Expansion Microscopy Has Transformed How We See the Cellular World How Modern and Antique Technologies Reveal a Dynamic Cosmos Once Thought To Support Neurons, Astrocytes Turn Out To Be in ChargeScience Daily
Everyone thought autism mostly affected boys. This study says otherwise Methane spiked after 2020 and the cause was unexpected Scientists find genes that existed before all life on Earth Scientists uncover the climate shock that reshaped Easter Island When immune cells stop fighting cancer and start helping it Scientists find a clue to human brain evolution in finger length AI reads brain MRIs in seconds and flags emergencies Physicists discover what controls the speed of quantum time Italy’s Winter Olympics are stunning from space Hearing aids didn’t boost memory tests but dementia risk dropped This popular diet was linked to a much lower stroke risk A secret cell alliance may explain why ovarian cancer is so deadly Scientists were wrong for decades about DNA knots This common tomato nutrient may help prevent severe gum disease Ancient Chinese medicine may hold the key to hair regrowth Forests are changing fast and scientists are deeply concerned New research reveals humans could have as many as 33 senses A simple discovery is shaking the foundations of spintronics A massive ADHD study reveals what actually works Why this rust-like mineral is one of Earth’s best carbon vaults This tiny organism refused to die under Mars-like conditions A legendary golden fabric lost for 2,000 years has been brought back Scientists may have found the brain network behind Parkinson’s Scientists found a gut compound that helps protect the liver New drug resets the body clock and cuts jet lag recovery nearly in half Scientists warn climate models are missing a key ocean player Scientists finally solve a 100-year-old mystery in the air we breathe Gut bacteria can sense their environment and it’s key to your health Scientists turn sunflower oil waste into a powerful bread upgrade Chang’e-6 lunar samples reveal a giant impact reshaped the Moon’s interior Ancient bones reveal chilling victory rituals after Europe’s earliest wars Physicists solve a quantum mystery that stumped scientists for decades Pumas are back in Patagonia and Penguins are paying the price This weird deep-sea creature was named by thousands of people online How COVID and H1N1 swept through U.S. cities in just weeks Menopause linked to grey matter loss in key brain regions A century of hair shows how lead exposure collapsed New forecasts offer early warning of Arctic sea ice loss Scientists find a missing link between Epstein-Barr virus and multiple sclerosis Scientists create smart synthetic skin that can hide images and change shape A hidden brain effect of prenatal alcohol exposure Scientists found a sugar that could defeat deadly superbugs An invisible chemical rain is falling across the planet Why colorectal cancer breaks the immune system’s rules Scientists found a hidden fat switch and turned it off That dry, bitter taste may be waking up your brain These 773,000-year-old fossils may reveal our shared human ancestor Something supercharged Uranus when Voyager 2 flew past A hidden Aloe vera compound takes aim at Alzheimer’s This tiny molecular trick makes spider silk almost unbreakable A clever quantum trick brings practical quantum computers closer Dark matter could be masquerading as a black hole at the Milky Way’s core Doctors test brain cell implants to restore movement in Parkinson’s Scientists discover hidden deep-Earth structures shaping the magnetic field Air ambulance teams are changing who survives critical injuries Mars’ water mystery may have a simple ice answer A new scan lets scientists see inside the human body in 3D color Scientists uncover why psoriasis can turn into joint disease This simple diet shift cut 330 calories a day without smaller meals A superfluid freezes and breaks the rules of physicsSpaceflight Now
Weather delays NASA’s SpaceX Crew-12 flight to the International Space Station SpaceX test fires its Falcon 9 rocket ahead of midweek launch of Crew-12 to the space station SpaceX launches return to flight Falcon 9 mission following brief stand down SpaceX shifts away from Dragon launches at pad 39A as Starship looms ULA offloads first Vulcan rocket at Vandenberg at it preps its next Cape launch NASA waves off February launch for Artemis II moon mission; now targeting early March SpaceX experiences Falcon 9 upper stage anomaly following Starlink deployment Countdown underway for critical moon rocket fueling test Monday Cold weather delays earliest Artemis 2 launch opportunity SpaceX launches overnight Starlink flight as it unveils new ‘Stargaze’ space situational awareness systemSpace Daily
Launch to ISS pushed to Thursday over weather: NASA Voyager wins NASA ISS mission management role through 2030 Venus radar study reveals vast underground lava cave JWST study links sulfur rich gas giants to core growth in distant HR 8799 system Enceladus waves shape Saturn space weather Amino acids in Bennu asteroid hint at icy radioactive origin The Race Is On: Artemis, China and Musk Turn the Moon Into the Next Strategic High Ground Firefly prepares Alpha Flight 7 stairway to seven mission Abundant element alloy enables rare earth free cryogenic cooling Shenzhen district powers dense robot innovation ecosystem Ancient lungfish fossils refine early vertebrate story Climate change speeds up destruction of key greenhouse gas EUMETSAT extends role in DestinE digital twin infrastructure Landsat study maps boreal forest shift north From Quantum Physics to Coastal Resilience Brad Bartz to Present Who Turned the Power Back On at AltaSeaSpace News
Satellite manufacturers see emerging market for ‘mini-constellations’ National Reconnaissance Office adds HEO, SatVu and Sierra Nevada to commercial imaging program Laser-linked satellite networks moving from concept to capability Australia Space Innovation Institute applies space technologies to address terrestrial challenges ULA seeks to rebuild launch cadence after CEO’s exit Germany funds 78 million euro human exploration control center Amazon Leo nets anchor maritime resellers Aerospace attracts partners for DiskSat demonstrations Non-venture space startup investment hits post-SPAC high Spaceium demonstrates refueling actuator in orbit Apolink and Galaxia team up to improve planned data relay capability NASA, Boeing still working on Starliner return to flight Musk says SpaceX focus is on the moon rather than Mars There’s a way forward for sovereign European space intel, but is there the will? Falcon 9 returns to flight after upper stage engine investigation SpaceX IPO could drive investor interest in other space companies Space Force awards $54.5 million contract to Starfish Space for GEO servicing vehicle China launches reusable spaceplane on fourth secretive orbital mission NASA seeks to bolster workforce, reduce reliance on contractors Viasat sees orbital data center partnership opportunity ‘We helped usher in the modern era of AI in NGA.’ ‘Serving the country and pushing the boundaries of human existence is very purposeful.’ ‘I loved thinking about how to make science possible for America and for the world’ ‘You need competent people in the government to direct and make decisions.’Martin Fowler
Fragments: February 9 Context Engineering for Coding Agents Fragments: February 4 Bliki: Excessive Bold Assessing internal quality while coding with an agent Fragments: January 22 Conversation: LLMs and the what/how loop Stop Picking Sides: Manage the Tension Between Adaptation and Optimization My favorite musical discoveries of 2025 Fragments: January 8 Fragments: December 16 Writing Fragments Fragments Dec 11 Fragments Dec 4 Fragments Nov 19 My Foreword to "Frictionless" The Learning Loop and LLMs Fragments Nov 3 Agentic AI and Security Fragments and Links Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl Anchoring AI to a reference application To vibe or not to vibe Some thoughts on LLMs and Software Development From Black Box to Blueprint Research, Review, Rebuild: Intelligent Modernisation with MCP and Strategic Prompting Building your own CLI Coding Agent with Pydantic-AI Chatting with Unmesh about building language with LLMs Bliki: Expansion Joints Team OKRs in ActionEmbedded Artistry
Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New Device The Simple Fixes on the Quest for Improved Performance Schrödinger’s Meeting Building a Simplified CLI Using Invoke (for Monorepo Management) Replacing find Shell Commands with Python Q&A: What Pieces of the OTA Update Pipeline Should You Front Load?Attack Magazine
You Can Now Build Your Own Plugins Without C++ Knowledge NOT BAD FOR A GIRL Issues Open Letter on Line-Up Inequality FabFilter Pro-C 3: The Most Fun You Can Have With A Compressor Liquid Hoover Bass Novation Launch Control XL 3 Native Instruments Enters Preliminary Insolvency Proceedings Best of NAMM 2026 for Electronic Music Producers Akai Launches New Flagship MPC – The MPC XL Manifest Audio Unleash Free Synth: Tactum Catch Kobosil, Shlømo, Klofama & more At Sound Waves Winter Edition Next MonthDJ 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