nx1.info | News
Last updated: 22/01/2026 00:30:37Google News
Trump's jibes are wearing thin for many of Europe's leaders - BBC House Panel Votes to Hold Clintons in Contempt in Epstein Inquiry - The New York Times Seven more countries agree to join Trump's Board of Peace - BBC When was the last time Charlotte had a significant ice storm? - wcnc.com Judge denies lawmaker request for ‘independent monitor’ to oversee Epstein files release - Politico It Will Feel Like 35 Below Zero In Chicago During Weekend Cold Snap - blockclubchicago.org North Carolina teen pleads guilty to murdering 5 people in 2022 killing spree - NBC News U.S. House to vote on whether to repeal mining protections from BWCAW, surrounding watersheds - kare11.com In Court Record, Official Describes Assault Before ICE Agent Shot Man in Minneapolis - The New York Times Live Updates: Trump Says He's Reached 'Framework' Deal on Greenland and Drops Tariff Threat - The New York Times Israel kills 3 journalists in Gaza, including CBS News contributor - The Washington Post Prince Harry visibly emotional as he says Daily Mail made wife Meghan’s life a misery - CNN Trump mocks Macron's sunglasses in Davos speech - Reuters Supreme Court appears likely to allow Lisa Cook to remain on Fed board - The Washington Post As Trump talks tariffs, his Argentine ally welcomes a shipload of Chinese EVs for the first time - Yahoo Finance Pending home sales drop sharply in December, dampening 2026 outlook - CNBC How Two Rivals Undercut J&J's Beat And Big Guidance - Investor's Business Daily ‘Nightmare’—Microsoft Update Breaks Windows For Millions - Forbes NeurIPS papers contained 100+ AI-hallucinated citations, new report claims - Fortune Apple to Revamp Siri as a Built-In iPhone, Mac Chatbot to Fend Off OpenAI - Bloomberg Millions of people imperiled through sign-in links sent by SMS - Ars Technica Sundance 2026 Hot List: Will New Films From Channing Tatum, Charli xcx and Natalie Portman Spark Bidding Wars? - Variety Ryan Murphy’s ‘The Beauty’ Isn’t Perfect, but It’s Still a Pleasure: TV Review - Variety ‘The most dangerous man in America’: how Paul Robeson went from Hollywood to blacklist - The Guardian 12 Houston chefs, restaurants become 2026 James Beard Award semifinalists - houstonchronicle.com Albert Breer’s NFL Mailbag: Favorites to Land the Dolphins’ OC Job - Sports Illustrated Paddy Pimblett draws mixed reaction from fans after he was caught smoking ahead of UFC 324 - Bloody Elbow Major League Baseball Is Determined To Rain On Its Own Parade - Defector Astronauts say space station's ultrasound machine was critical during medical crisis - Yahoo NASA Webb Finds Young Sun-Like Star Forging, Spewing Common Crystals - NASA Science (.gov) New NASA Artemis Payloads To Study Moon’s Terrain, Radiation, History - NASA (.gov) NASA to end support for planetary science groups - SpaceNews Heart Disease and Stroke Behind Quarter of All Deaths in U.S. - The New York Times 6 daily habits to slow aging, from a Harvard brain expert - The Washington Post This Adorable Good Boy Just Got Rare, Life-Saving Brain Surgery - Gizmodo Sex is pleasurable. It should feel safe too. : It's Been a Minute - NPRBBC News
Trump says 'framework of a future deal' discussed on Greenland as he drops tariffs threat Chris Mason: Latest twist in Trump diplomacy brings relief for Starmer Tetchy and emotional exchanges as Harry in court for what could be last time Oldest cave painting of red claw hand could rewrite human creativity timeline Olivia Dean and Lola Young dominate Brit Award nominations Lords back UK social media ban for under-16s Ghislaine Maxwell to testify before US Congress in Epstein probe Liverpool top English club in Deloitte Money League Mother-of-10 guilty of keeping vulnerable woman as slave for 25 years Decision on Manchester-London 'ghost train' was uninformed, regulator admits Prue Leith leaves The Great British Bake Off Israel postpones demolition of Palestinian children's football pitch Why does Trump want Greenland and what could it mean for Nato and the EU? Faisal Islam: What it was like inside the room with Donald Trump at Davos EU suspends approval of US trade deal over Greenland threats Trump's jibes are wearing thin for many of Europe's leaders Fact-checking Trump's Davos speech Beckham v Peltz Beckham: Could Brooklyn torpedo the family brand? Loved ones of victims reeling after high-speed rail crash in southern Spain How the NHS became the battleground in the trans debate facing workplaces Should Scotland fans boycott the World Cup over Greenland row? The Papers: 'Trump hails Greenland deal' and 'All I want is a piece of ice' Photos leaked to BBC show faces of hundreds killed in Iran's brutal protest crackdown Man fakes pilot badge to score hundreds of free flights, officials say Australia's opposition coalition splits after row over hate speech laws Taylor Swift makes history as she joins Songwriters Hall of Fame Seven more countries agree to join Trump's Board of Peace US to transfer Islamic State prisoners from Syria to Iraq Watch: Record snowfall leaves cars stuck and people stranded in Russia's Far East BBC News app Trump accuses UK of "an act of GREAT STUPIDITY!" Greenland: Could the US regret alienating its Nato allies? Slot praises Salah return on important night for both 'He came here for these nights' - Wissa inspires Newcastle Who can join Arsenal & Bayern in Champions League knockouts? Salah returns as Liverpool score three to beat MarseilleFinancial Times (World)
Venture Global prevails in dispute with Repsol over supply contracts UK ministers suffer defeat as peers back ban on social media for under-16s FirstFT: Trump drops tariff threat over Greenland BofA’s Moynihan left off invite list for Trump reception at Davos Who wants to join Trump’s ‘Board of Peace’? Trump drops tariff threat against Europe and touts ‘future’ Greenland deal US transfers Isis prisoners to Iraq amid Syria fighting US stocks rally after Trump drops threat of new front in trade war US congressional committee votes to hold Bill and Hillary Clinton in contempt Supreme Court expresses scepticism over Trump’s bid to sack Lisa Cook The great Greenland climbdown UK would be ‘crazy’ not to consider new EU customs union, says minister The trouble with maps: Greenland’s allure for Trump is based on an illusion A good day in court for Lisa Cook What happens if the UK and US reach net zero (migration)? Garbage stocks are on fire again Prince Harry says Daily Mail makes wife Meghan’s life an ‘absolute misery’ Inflation and interest rates tracker: see how your country compares UK ‘will not yield’ on Greenland, Starmer warns Trump Chicken producer MHP sells Ukraine’s first corporate bond since Russian invasion Lutnick heckled at Davos dinner as Lagarde walks out A better way to address China’s population decline Fed chair gender reveal post The problem with the mansion tax is that it’s badly designed UK workplace health insurance claims hit record high amid NHS backlogFinancial Times (UK)
UK ministers suffer defeat as peers back ban on social media for under-16s UK would be ‘crazy’ not to consider new EU customs union, says minister What happens if the UK and US reach net zero (migration)? Prince Harry says Daily Mail makes wife Meghan’s life an ‘absolute misery’ Inflation and interest rates tracker: see how your country compares UK ‘will not yield’ on Greenland, Starmer warns Trump The problem with the mansion tax is that it’s badly designed UK workplace health insurance claims hit record high amid NHS backlog Rachel Reeves indicates only pubs will benefit from U-turn on business rates UK inflation rises more than expected to 3.4% in December Inner London house prices fall at fastest rate since global financial crisis Farage apologises to watchdog over late declaration of 17 payments Westminster ‘riding it out’ is not a strategy for UK-US relations Aberdeen outflows triple as asset manager blames Budget ‘uncertainty’ Higher UK inflation in December mostly erratic UK moves to extend life of Sizewell B nuclear plant by 20 years Farage courts Tory mayor Ben Houchen How the pensions triple lock will end 10 bonny whiskies for Burns Night Trump launches attack on Starmer as UK-US tensions mount UK tilts insulation subsidies towards solar panels and batteries UK in ‘strong position’ to avoid further tax rises, says Rachel Reeves Mosley offered to ‘tempt’ phone hacker to provide evidence against Daily Mail, court told BoE governor warns of market spillovers from Trump’s actions Keir Starmer’s leadership under pressure from Angela Rayner and Andy BurnhamThe New York Times
An A.I. Start-Up Says It Wants to Empower Workers, Not Replace Them Snap Settles Lawsuit on Social Media Addiction, Avoiding a Landmark Trial F.T.C. Appeals Loss in Meta Antitrust Case The Rise of Prediction Markets At Check-In, Your Face Is Increasingly Your ID Thing-Like Robotic Hand Makes Life Resemble ‘The Addams Family’ AI Attack Ad in Texas Senate Race Shows John Cornyn Dancing With Jasmine Crockett OpenAI Starts Testing Ads in ChatGPT Trump and States Aim to Stop A.I. From Inflating Energy Bills Jonathan Haidt Strikes Again + What You Vibecoded + An Update on the Forkiverse How Activists in Iran Are Using Starlink to Stay Online State and Federal Lawmakers Want Data Centers to Pay More for Energy Coinbase, the Biggest U.S. Crypto Company, Asserts Its Power in Washington Elon Musk’s X Restricts Ability to Create Explicit Images With Grok A.I. Has Arrived in Gmail. Here’s What to Know. OpenAI Teams Up With Cerebras in Chip Maker Deal California Investigates Elon Musk’s xAI Over Sexualized Images Generated by Grok Can A.I. Generate New Ideas? 2026 May Be the Year of the Mega I.P.O. Starlink Users in Iran Get Free Internet Access, Nonprofits SayThe Guardian
Head of US Africa bureau urges staff to highlight US ‘generosity’ despite aid cuts ‘Brazen’ political influence of rich laid bare as wealth of billionaires reaches $18.3tn, says Oxfam Uganda’s president calls opponents 'terrorists' in victory speech Yoweri Museveni wins Ugandan election as opponent condemns ‘fake result’ Confidence runs high in London’s Little Morocco as Afcon glory beckons Sheinbaum defends transfer of Mexican cartel members amid efforts to appease Trump Trump says Canada should be grateful for ‘freebies’ it gets from the US Chile’s president-elect names staunch abortion opponent as gender equality minister Catholic cardinals warn US foreign policy under Trump risks global suffering Colombian ex-paramilitary leader jailed for crimes against Indigenous groups Hong Kong national security trial of three pro-democracy activists to open Hand shape in Indonesian cave may be world’s oldest known rock art Former South Korean PM jailed for 23 years for role in martial law insurrection Keir Starmer to visit China with British business leaders next week, say reports Thousands of workers flee Cambodia scam centres, officials say Australia news live: Malcolm Turnbull says Coalition a ‘smouldering wreckage’; state vigil begins for Bondi victims in Melbourne Offshore gambling operators using Australian Open to promote illegal services OECD calls on Australia to raise GST and increase affordable housing amid budget deficit ‘Serious mistake’: there’s no benefit for Australia in joining Donald Trump’s ‘board of peace’ – only risk Australians to perform acts of kindness on national day of mourning for Bondi terror attack victims Wind and solar overtook fossil fuels for EU power generation in 2025, report finds Trump paints himself as great white hope in racism-drenched Davos speech Trump steps up Greenland annexation demand and attacks European leaders at Davos Zelenskyy meeting with Trump expected to take place on Thursday – as it happened EU parliament blocks US trade deal after Trump’s tariff threat Concern over north-east Syria security amid fears IS militants could re-emerge Syrian army takes control of detention camp for Islamic State suspects Netanyahu to join Trump ‘board of peace’ despite previous objections Iran’s central bank using vast quantities of cryptocurrency championed by Farage, says report Kurdish forces withdraw from IS detention camp in north-east Syria Search for single-tusked elephant after 22 killed in India rampage Russia working to circumvent sanctions to ensure India oil imports continue Sikh activist in UK told to increase security over Hindu nationalist threats Myanmar junta holds second phase of election widely decried as a ‘sham exercise’ Indian police raid home of environmental activists over anti-fossil fuel campaign Judge-only trials in England and Wales will not wipe out crown court backlog, report says Four in five blind people struggle with gap at UK train stations, survey finds Use of ADHD medication in UK more than tripled in 13 years, study finds Museums must reach all parts of UK, says Nandy as £1.5bn of arts funding announced Lords put pressure on Starmer with vote to ban social media for under-16s Trump scraps tariff threat and claims ‘framework of a future deal’ on Greenland – live Bezos’s Blue Origin announces plans to deploy thousands of satellites in 2027 New York must redraw congressional map before midterms, judge rules Theranos founder Elizabeth Holmes asks Trump to commute prison sentence Trump walks back Greenland tariffs threat, citing vague ‘deal’ over territoryHacker News
Take potentially dangerous PDFs, and convert them to safe PDFs Jerry (YC S17) Is Hiring Show HN: TerabyteDeals – Compare storage prices by $/TB Setting Up a Cluster of Tiny PCs for Parallel Computing Show HN: Rails UI Scientists find a way to regrow cartilage in mice and human tissue samples Slouching Towards Bethlehem – Joan Didion (1967) Waiting for dawn in search: Search index, Google rulings and impact on Kagi TrustTunnel: AdGuard VPN protocol goes open-source Open source server code for the BitCraft MMORPG Challenges in join optimization Autonomous (YC F25) is hiring – AI-native financial advisor at 0% advisory fees JPEG XL Test Page Three types of LLM workloads and how to serve them Claude's new constitution Skip is now free and open source Show HN: ChartGPU – WebGPU-powered charting library (1M points at 60fps) Tell HN: 2 years building a kids audio app as a solo dev – lessons learned Nested code fences in Markdown Hightouch (YC S19) Is HiringArxiv astro-ph.HE
Discovery of High X-Ray Polarization from the Neutron Star Low-Mass X-Ray Binary Cyg X-2 in the Horizontal Branch Black hole accretion disks with outflows II. Time dependent Green's function solutions in Newtonian gravity Einstein Probe discovery of EP J171159.4-333253: an eclipsing neutron star low-mass X-ray binary with clocked bursts Prediction of Multi-Wavelength Afterglows Associated with FRB 20200120E and FRB 20201124A Possible Multi-band Afterglows of FRB 20171020A and its Implication Evidence for 1.01 s Pulsations of the Central Compact Object in the Supernova Remnant RCW 103 with ASCA, XMM-Newton, and NuSTAR Captured are circularized: A relativistic treatment of extreme mass ratio inspirals crossing accretion disks Pushchino Multibeam Pulsar Search. IX. Detection of a minute-long transient on the LPA antenna Detection of a Millisecond Periodicity in BATSE Short Gamma-Ray Bursts Timing analysis of a sample of five cataclysmic variable candidates observed by the XMM-Newton satellite Exploring Superfluid Angular Momentum Reservoir Effect on Pulsar Glitches and Forecasting Next Glitches of the Crab Pulsar Discovery of a soft X-ray lag in the tidal disruption event AT2021ehb Reconciling the Systemic Kicks of Observed Millisecond Pulsars, Spider Pulsars, and Low-mass X-ray Binaries Probing Circumstellar Material and Shock Acceleration in Core-Collapse Supernovae with High-Energy Neutrinos Modified hadronic interactions in 3-dimensional simulations A long-term multiwavelength study of the flat spectrum radio quasar OP 313 Nuclear astrophysics The DESI Transients Survey: Legacy Classifications and Methodology Rate of Repeating Tidal Disruption Events with 5--19 years interval constrained by CRTS and ZTF Simulating the quasi-ballistic regime of a short Gamma-Ray Burst jet Tidal capture and repeating partial tidal disruption events of giant stars Simulating radio emission from flickering AGN jets: travelling shocks and hotspot brightening Broadband Variability Analysis of FSRQ PKS\,0402-362 with Indications of Quasi-Periodic Modulation Signatures of Black Hole Spin and Plasma Acceleration in Jet Polarimetry II: Off-Axis Jets Variability as a new discovery channel for Intermediate-Mass Black Holes in the Time Domain Era Locating the missing large-scale emission in the jet of M87* with short EHT baselines The odyssey of the black hole low mass X-ray binary GX339-4: Five years of dense multi-wavelength monitoring Neutrinos from hidden ultraluminous X-ray sources in the Galaxy Observational Relationship between Spectral Properties of Gamma-ray and X-ray Emissions from Pulsars XPE and VLT /FORS2 polarimetry challenge the Seyfert-1.9 classification of MCG-05-23-16 Secular Evolution of PSR J2021+4026: Long-Term {\gamma}-Ray Flux and Spin-Down Variability Beyond State Transitions Rotational enhancement and stability of protoquark stars during thermal evolution X-ray Analysis and Photon-transport Simulations of SMC X-1: A Warped-disc Origin of the Superorbital Modulation Unveiling Hidden Clustering: An Unsupervised Machine Learning Study of Repeating FRB 20220912A The JEM-EUSO Collaboration: Contributions to the 39th International Cosmic Ray Conference (ICRC2025) Accretion flow around Kerr metric in the infra-red limit of asymptotically safe gravity Minutes-long soft X-ray prompt emission from a compact object merger A multi-wavelength study of the 2025 low state of the intermediate polar BG CMi A self-consistent explanation of the MeV line in GRB 221009A unveils a dense circum-stellar medium Probing super-heavy dark matter with ultra-high-energy gamma rays Stimulated radiation from superradiant scalar cloud in scalar-tensor theory The gravitational energy-momentum pseudo-tensor in $f(Q)$ non-metric gravity Uncovering the Next Galactic Supernova with the Vera C. Rubin Observatory Revisiting $^7$Be Weak and Radiative Transition Rates in Big Bang Nucleosynthesis: Implications for the Primordial Lithium Problem BE Lyncis: An Extremely Eccentric Binary with the Nearest Known Black Hole Multi-Tracer Cross-Correlations of the Unresolved $\gamma$-Ray Sky Universal Dense-Matter Trace Anomaly Inferred from Collective Flow in Heavy-Ion Collisions and Global Properties of Neutron Stars Cosmological Budget of Entropy from Merging Black Holes Optimising gravitational-wave sky maps for pulsar timing arrays Influence of Finite-Nuclei Constraints on High-Density Transitions and Neutron Star Properties JEM-EUSO Collaboration contributions to the 37th International Cosmic Ray Conference JEM-EUSO Collaboration contributions to the 38th International Cosmic Ray Conference The compact object of HESS J1731-347 and its implication on neutron star matter Searching for New Physics in Ultradense Environment: a Review on Dark Matter Admixed Neutron Stars Impact of multi-messenger spectral modelling on blazar-neutrino associations An Accretion Flare Interpretation for the Ultra-High-Energy Neutrino Event KM3-230213A Multimessenger Emission from Very-High-Energy Black Hole-Jet Systems in the Milky Way The diffuse supernova neutrino background: an update with modern population synthesis and core-collapse simulations Gravitational lensing rarely produces high-mass outliers to the compact binary population Three-Dimensional Numerical Simulations of Magnetar Crust Quakes A multiwavelength study of the new Galactic center black hole candidate MAXI J1744-294 A HyperFlash and \'ECLAT view of the local environment and energetics of the repeating FRB 20240619D Light curves of time-dependent accretion disk in tidal disruption events Binding energy of compact stars and their non-radial oscillations Electron Cyclotron Maser Emission as the Driving Mechanism in Long-Period Radio Transients Explosions in the Empty: A Survey of Transients in Local Void Galaxies Machine-learning approaches to dispersion measure estimation for fast radio bursts A spectroscopically confirmed, strongly lensed, metal-poor Type II supernova at z = 5.13 Triaxial Magnetars as Sources of Fast Radio Bursts Radiative Cooling Effects on Plasmoid Formation in Black Hole Accretion Flows with Multiple Magnetic Loops Strongly Interacting Dark Matter admixed Neutron Stars Deflection angle in the strong deflection limit for static and axisymmetric spacetimes: Local curvature, matter fields, and quasinormal modes Hawking Radiation Signatures from Primordial Black Holes Transiting the Inner Solar System: Prospects for Detection Optical and near-infrared nebular-phase spectroscopy of SN 2024ggi: constraints on the structure of the inner ejecta, progenitor mass, and dust SISSI: Supernovae in a stratified, shearing interstellar medium. II. Star formation near the Sun is quenched by expansion of the Local Bubble Hyperons in Neutron Stars across the observed mass range: Insights from realistic $\Lambda$-N and $\Lambda$-$\Lambda$ interactions within a Microscopic Framework Charged particle dynamics in singular spacetimes: hydrogenic mapping and curvature-corrected thermodynamics Anderson self-localization of light in pair plasmas Is the high-energy environment of K2-18b special? Strong Evidence for Cosmic Ray-Supported $\sim$L$^{\ast}$ Galaxy Halos via X-ray \& tSZ Constraints Taxonomy of periodic orbits and gravitational waves in a deformed Schwarzschild black hole spacetime Effects of spontaneous Lorentz Symmetry breaking on Letelier-AdS charged black holes within Kalb-Ramond gravity KiDS-Legacy: WIMP dark matter constraints from the cross-correlation of weak lensing and Fermi-LAT gamma raysArxiv cs.LG
CSyMR: Benchmarking Compositional Symbolic Muisc Reasoning With MIR Tool Integration AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning A Multimodal Data Processing Pipeline for MIMIC-IV Dataset Auxiliary-predicted Compress Memory Model(ApCM Model): A Neural Memory Storage Model Based on Invertible Compression and Learnable Prediction Integrating Temporal Context into Streaming Data for Human Activity Recognition in Smart Home A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective Geometric Attention: A Regime-Explicit Operator Semantics for Transformer Attention NoiseFormer -- Noise Diffused Symmetric Attention Transformer Verifying Physics-Informed Neural Network Fidelity using Classical Fisher Information from Differentiable Dynamical System Global Optimization By Gradient from Hierarchical Score-Matching Spaces Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning Machine learning model for predicting surface wettability in laser-textured metal alloys Activation Sensitivity as a Unifying Principle for Post-Training Quantization Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis jBOT: Semantic Jet Representation Clustering Emerges from Self-Distillation Suspicious Alignment of SGD: A Fine-Grained Step Size Condition Analysis Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Shapelets-Enriched Selective Forecasting using Time Series Foundation Models MixFlow: Mixture-Conditioned Flow Matching for Out-of-Distribution Generalization AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures Approximation Algorithm for Constrained $k$-Center Clustering: A Local Search Approach From Relative Entropy to Minimax: A Unified Framework for Coverage in MDPs DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models Task-tailored Pre-processing: Fair Downstream Supervised Learning Communication-Corruption Coupling and Verification in Cooperative Multi-Objective Bandits Trainability-Oriented Hybrid Quantum Regression via Geometric Preconditioning and Curriculum Optimization Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration Data-centric Prompt Tuning for Dynamic Graphs R$^2$PO: Decoupling Training Trajectories from Inference Responses for LLM Reasoning One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints Extreme Value Policy Optimization for Safe Reinforcement Learning Why Loss Re-weighting Works If You Stop Early: Training Dynamics of Unconstrained Features Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models Mitigating Cultural Bias in LLMs via Multi-Agent Cultural Debate PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses Speculative Sampling with Reinforcement Learning One-Sided Matrix Completion from Ultra-Sparse Samples Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models Learning Longitudinal Health Representations from EHR and Wearable Data Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization Distribution Shift Is Key to Learning Invariant Prediction Machine Learning as a Service (MLaaS) Dataset Generator Framework for IoT Environments Explanova: Automatically Discover Data Insights in N \times M Table via XAI Combined LLM Workflow Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays IceWatch: Forecasting Glacial Lake Outburst Floods (GLOFs) using Multimodal Deep Learning Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs LB-MCTS: Synergizing Large Language Models and Bayesian Optimization for Efficient CASH Machine Learning-Based Framework for Real Time Detection and Early Prediction of Control Valve Stiction in Industrial Control Systems Statistical-Neural Interaction Networks for Interpretable Mixed-Type Data Imputation Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants Orthogonalized Policy Optimization:Decoupling Sampling Geometry from Optimization Geometry in RLHF Graph Attention Networks with Physical Constraints for Anomaly Detection Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting Semidefinite Programming for Quantum Channel Learning Cooperative Multi-agent RL with Communication Constraints Learning Relativistic Geodesics and Chaotic Dynamics via Stabilized Lagrangian Neural Networks Approximating splits for decision trees quickly in sparse data streams Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization Beyond Softmax and Entropy: Improving Convergence Guarantees of Policy Gradients by f-SoftArgmax Parameterization with Coupled Regularization What Trace Powers Reveal About Log-Determinants: Closed-Form Estimators, Certificates, and Failure Modes Towards Robust Universal Perturbation Attacks: A Float-Coded, Penalty-Driven Evolutionary Approach Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction Explanation Multiplicity in SHAP: Characterization and Assessment Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks MetaToolAgent: Towards Generalizable Tool Usage in LLMs through Meta-Learning Resource-Conscious RL Algorithms for Deep Brain Stimulation Towards Spectroscopy: Susceptibility Clusters in Language Models Adaptively trained Physics-informed Radial Basis Function Neural Networks for Solving Multi-asset Option Pricing Problems Trend-Adjusted Time Series Models with an Application to Gold Price Forecasting Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization Distribution-Centric Policy Optimization Dominates Exploration-Exploitation Trade-off A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection A Boolean Function-Theoretic Framework for Expressivity in GNNs with Applications to Fair Graph Mining Eddy-Resolving Global Ocean Forecasting with Multi-Scale Graph Neural Networks Distilling Time Series Foundation Models for Efficient Forecasting Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs Fisher-Orthogonal Projected Natural Gradient Descent for Continual Learning Knowledge-Integrated Representation Learning for Crypto Anomaly Detection under Extreme Label Scarcity; Relational Domain-Logic Integration with Retrieval-Grounded Context and Path-Level Explanations Generating Cyclic Conformers with Flow Matching in Cremer-Pople Coordinates Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs Supervised Learning for the (s,S) Inventory Model with General Interarrival Demands and General Lead Times Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets CooperLLM: Cloud-Edge-End Cooperative Federated Fine-tuning for LLMs via ZOO-based Gradient Correction An efficient heuristic for geometric analysis of cell deformations Online Continual Learning for Time Series: a Natural Score-driven Approach Deterministic Dynamics of Sampling Processes in Score-Based Diffusion Models with Multiplicative Noise Conditioning Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients PaperGuide: Making Small Language-Model Paper-Reading Agents More Efficient HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning Enhancing Generalization in Sickle Cell Disease Diagnosis through Ensemble Methods and Feature Importance Analysis Analysis of Long Range Dependency Understanding in State Space Models TinyML-Enabled IoT for Sustainable Precision Irrigation METIS: Mentoring Engine for Thoughtful Inquiry & Solutions Recursive Meta-Distillation: An Axiomatic Framework for Iterative Knowledge Refinement FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference Training instability in deep learning follows low-dimensional dynamical principles NeuroShield: A Neuro-Symbolic Framework for Adversarial Robustness LAViG-FLOW: Latent Autoregressive Video Generation for Fluid Flow Simulations A Comprehensive Evaluation of LLM Reasoning: From Single-Model to Multi-Agent Paradigms Do Instruction-Tuned Models Always Perform Better Than Base Models? Evidence from Math and Domain-Shifted Benchmarks Multi-level Monte Carlo Dropout for Efficient Uncertainty Quantification Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning CooperBench: Why Coding Agents Cannot be Your Teammates Yet Verifying Local Robustness of Pruned Safety-Critical Networks Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans On the Relation of State Space Models and Hidden Markov Models CausationEntropy: Pythonic Optimal Causation Entropy Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization BladeSDF : Unconditional and Conditional Generative Modeling of Representative Blade Geometries Using Signed Distance Functions Fairness-informed Pareto Optimization : An Efficient Bilevel Framework Federated Learning Under Temporal Drift -- Mitigating Catastrophic Forgetting via Experience Replay Quantum Qualifiers for Neural Network Model Selection in Hadronic Physics Preconditioning Benefits of Spectral Orthogonalization in Muon A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model StoTAM: Stochastic Alternating Minimization for Tucker-Structured Tensor Sensing MN-TSG:Continuous Time Series Generation with Irregular Observations Patterning: The Dual of Interpretability ButterflyMoE: Sub-Linear Ternary Experts via Structured Butterfly Orbits Multi-objective fluorescent molecule design with a data-physics dual-driven generative framework Self-Improvement as Coherence Optimization: A Theoretical Account DRGW: Learning Disentangled Representations for Robust Graph Watermarking GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds Behavior Knowledge Merge in Reinforced Agentic Models FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Transformer Models Machine learning based radiative parameterization scheme and its performance in operational reforecast experiments Diffusion In Diffusion: Breaking the Autoregressive Bottleneck in Block Diffusion Models Fisher-Informed Parameterwise Aggregation for Federated Learning with Heterogeneous Data Quadratic Upper Bound for Boosting Robustness TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation Autoregressive deep learning for real-time simulation of soft tissue dynamics during virtual neurosurgery Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation Who Should Have Surgery? A Comparative Study of GenAI vs Supervised ML for CRS Surgical Outcome Prediction EEG-Titans: Long-Horizon Seizure Forecasting via Dual-Branch Attention and Neural Memory vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting Orthogonium : A Unified, Efficient Library of Orthogonal and 1-Lipschitz Building Blocks Principled Latent Diffusion for Graphs via Laplacian Autoencoders PAtt: A Pattern Attention Network for ETA Prediction Using Historical Speed Profiles ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over Resource-Constrained Edge Networks Optimal L2 Regularization in High-dimensional Continual Linear Regression Inverting Self-Organizing Maps: A Unified Activation-Based Framework Multi-Objective Hierarchical Optimization with Large Language Models TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography Differentiable Logic Synthesis: Spectral Coefficient Selection via Sinkhorn-Constrained Composition RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning A universal linearized subspace refinement framework for neural networks Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment Universal Approximation Theorem for Input-Connected Multilayer Perceptrons PAC-Private Responses with Adversarial Composition LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems Optimizing Energy and Data Collection in UAV-aided IoT Networks using Attention-based Multi-Objective Reinforcement Learning Causal feature selection framework for stable soft sensor modeling based on time-delayed cross mapping Riemannian Liquid Spatio-Temporal Graph Network Penalizing Localized Dirichlet Energies in Low Rank Tensor Products A model of errors in transformers Differentiated Pickup Point Offering for Emission Reduction in Last-Mile Delivery InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning Q-learning with Adjoint Matching Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow Uniqueness ratio as a predictor of a privacy leakage MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings? DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways Multi-Scale Negative Coupled Information Systems (MNCIS): A Unified Spectral Topology Framework for Stability in Turbulence, AI, and Biology Enhancing Model Context Protocol (MCP) with Context-Aware Server Collaboration Domain-Specific Self-Supervised Pre-training for Agricultural Disease Classification: A Hierarchical Vision Transformer Study Multi-modal MRI-Based Alzheimer's Disease Diagnosis with Transformer-based Image Synthesis and Transfer Learning Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models Reasoning Stabilization Point: A Training-Time Signal for Stable Evidence and Shortcut Reliance Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering Semantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers PSSF: Early osteoarthritis detection using physical synthetic knee X-ray scans and AI radiomics models Reinforcement Learning for Dynamic Workflow Optimization in CI/CD Pipelines AI Agents Need Memory Control Over More Context The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype Anisotropic Tensor Deconvolution of Hyperspectral Images Telling Human and Machine Handwriting Apart Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding AllShowers: One model for all calorimeter showers A Proof of Concept for a Digital Twin of an Ultrasonic Fermentation System SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models LIME-LLM: Probing Models with Fluent Counterfactuals, Not Broken Text Early Linguistic Pattern of Anxiety from Social Media Using Interpretable Linguistic Features: A Multi-Faceted Validation Study with Author-Disjoint Evaluation Industry-Aligned Granular Topic Modeling Lightweight Self-Supervised Detection of Fundamental Frequency and Accurate Probability of Voicing in Monophonic Music Quantum Kernel Machine Learning for Autonomous Materials Science Gradient-based Active Learning with Gaussian Processes for Global Sensitivity Analysis RAPID-Serve: Resource-efficient and Accelerated P/D Intra-GPU Disaggregation Karhunen-Lo\`eve Expansion-Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation Cascaded Transformer for Robust and Scalable SLA Decomposition via Amortized Optimization Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI Accelerated MR Elastography Using Learned Neural Network Representation LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning Towards Airborne Object Detection: A Deep Learning Analysis Effects of Gabor Filters on Classification Performance of CNNs Trained on a Limited Number of Conditions Harmonica: A Self-Adaptation Exemplar for Sustainable MLOps Impact of Circuit Depth versus Qubit Count on Variational Quantum Classifiers for Higgs Boson Signal Detection Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs MongoDB Injection Query Classification Model using MongoDB Log files as Training Data Kernel-Based Learning of Safety Barriers A Kernel Approach for Semi-implicit Variational Inference Speaking to Silicon: Neural Communication with Bitcoin Mining ASICs Nonlinear Dynamic Factor Analysis With a Transformer Network A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer Offline Policy Learning with Weight Clipping and Heaviside Composite Optimization Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering Federated Joint Learning for Domain and Class Generalization FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers HCFT: Hierarchical Convolutional Fusion Transformer for EEG Decoding ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline Adaptive Multi-Scale Correlation Meta-Network for Few-Shot Remote Sensing Image Classification Cross-reality Location Privacy Protection in 6G-enabled Vehicular Metaverses: An LLM-enhanced Hybrid Generative Diffusion Model-based Approach Adaptive Rotary Steering with Joint Autoregression for Robust Extraction of Closely Moving Speakers in Dynamic Scenarios Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training De-Anonymization at Scale via Tournament-Style Attribution Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning A Mixture of Experts Vision Transformer for High-Fidelity Surface Code Decoding Failure Modes in Multi-Hop QA: The Weakest Link Law and the Recognition Bottleneck SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition A Theory of Diversity for Random Matrices with Applications to In-Context Learning of Schr\"odinger Equations SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition onepot CORE -- an enumerated chemical space to streamline drug discovery, enabled by automated small molecule synthesis and AI HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications Deterministic and probabilistic neural surrogates of global hybrid-Vlasov simulations Learning Deterministic Finite-State Machines from the Prefixes of a Single String is NP-Complete Reorienting off-path Nudged Elastic Bands (RONEB) via Minimum Mode Following Objective Matters: Fine-Tuning Objectives Shape Safety, Robustness, and Persona Drift Toward Faithful Explanations in Acoustic Anomaly Detection Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction BlocksecRT-DETR: Decentralized Privacy-Preserving and Token-Efficient Federated Transformer Learning for Secure Real-Time Object Detection in ITS Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning SoundPlot: An Open-Source Framework for Birdsong Acoustic Analysis and Neural Synthesis with Interactive 3D Visualization VISPA: Pluralistic Alignment via Automatic Value Selection and Activation SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability Joint Source-Channel-Generation Coding: From Distortion-oriented Reconstruction to Semantic-consistent Generation Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data PDFInspect: A Unified Feature Extraction Framework for Malicious Document Detection Race, Ethnicity and Their Implication on Bias in Large Language Models Communication Methods in Multi-Agent Reinforcement Learning TwoHead-SwinFPN: A Unified DL Architecture for Synthetic Manipulation, Detection and Localization in Identity Documents Actionable Interpretability Must Be Defined in Terms of Symmetries Dynamic Hand Gesture Recognition for Robot Manipulator Tasks Your Privacy Depends on Others: Collusion Vulnerabilities in Individual Differential Privacy A Component-Based Survey of Interactions between Large Language Models and Multi-Armed Bandits AI-generated data contamination erodes pathological variability and diagnostic reliability Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers Beyond Visual Realism: Toward Reliable Financial Time Series Generation OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models SASA: Semantic-Aware Contrastive Learning Framework with Separated Attention for Triple Classification Polychronous Wave Computing: Timing-Native Address Selection in Spiking Networks Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading RM -RF: Reward Model for Run-Free Unit Test Evaluation Approximate full conformal prediction in RKHS Forecasting Continuum Intensity for Solar Active Region Emergence Prediction using Transformers SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models Empirical Risk Minimization with $f$-Divergence Regularization Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development? Aligning Agentic World Models via Knowledgeable Experience Learning Beyond Cosine Similarity: Taming Semantic Drift and Antonym Intrusion in a 15-Million Node Turkish Synonym Graph A Hybrid Protocol for Large-Scale Semantic Dataset Generation in Low-Resource Languages: The Turkish Semantic Relations Corpus Deep Neural networks for solving high-dimensional parabolic partial differential equations Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models The Tag is the Signal: URL-Agnostic Credibility Scoring for Messages on Telegram Scaling laws for amplitude surrogates Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme Modeling of Climate Discourse MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomic The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models Sockpuppetting: Jailbreaking LLMs Without Optimization Through Output Prefix Injection Improving Geopolitical Forecasts with Bayesian Networks Recurrent Confidence Chain: Temporal-Aware Uncertainty Quantification in Large Language Models Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning Classifiers in High Dimensional Hilbert Metrics Trust Me, I'm an Expert: Decoding and Steering Authority Bias in Large Language Models Distribution-Free Confidence Ellipsoids for Ridge Regression with PAC Bounds MOSLD-Bench: Multilingual Open-Set Learning and Discovery Benchmark for Text Categorization Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs Graph Neural Networks are Heuristics Bridging the Gap Between Estimated and True Regret Towards Reliable Regret Estimation in Deep Learning based Mechanism Design Small Gradient Norm Regret for Online Convex Optimization Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs Refined Gradient-Based Temperature Optimization for the Replica-Exchange Monte-Carlo Method Reasoning is a Modality An Elementary Approach to Scheduling in Generative Diffusion Models Optimizing Parallel Schemes with Lyapunov Exponents and kNN-LLE Estimation CauScientist: Teaching LLMs to Respect Data for Causal Discovery Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning Towards Token-Level Text Anomaly Detection Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning Reinforcement Learning for Opportunistic Routing in Software-Defined LEO-Terrestrial Systems Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning Performance and Complexity Trade-off Optimization of Speech Models During Training Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs Generative Adversarial Networks for Resource State Generation SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition Variational Dual-path Attention Network for CSI-Based Gesture Recognition Pro-AI Bias in Large Language Models HiT: History-Injection Transformers for Onboard Continuous Flood Change Detection Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance Insight: Interpretable Semantic Hierarchies in Vision-Language Encoders Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning Discriminant Learning-based Colorspace for Blade Segmentation Device Association and Resource Allocation for Hierarchical Split Federated Learning in Space-Air-Ground Integrated Network Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments Co-Initialization of Control Filter and Secondary Path via Meta-Learning for Active Noise Control Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation Unified Unbiased Variance Estimation for MMD: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses Asymmetric regularization mechanism for GAN training with Variational Inequalities SCG With Your Phone: Diagnosis of Rhythmic Spectrum Disorders in Field Conditions Towards Effective Negation Modeling in Joint Audio-Text Models for Music TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentation Efficient Coordination with the System-Level Shared State: An Embodied-AI Native Modular Framework Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval Harmonizing the Deep: A Unified Information Pipeline for Robust Marine Biodiversity Assessment Across Heterogeneous Domains Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior Auditory Brain Passage Retrieval: Cross-Sensory EEG Training for Neural Information Retrieval Intermittent time series forecasting: local vs global models Federated Balanced Learning Kakugo: Distillation of Low-Resource Languages into Small Language Models SecureSplit: Mitigating Backdoor Attacks in Split Learning Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management Two-Stream temporal transformer for video action classification '1'-bit Count-based Sorting Unit to Reduce Link Power in DNN Accelerators Learning to Explain: Supervised Token Attribution from Transformer Attention Patterns Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models ConceptCaps -- a Distilled Concept Dataset for Interpretability in Music Models Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting Deep Learning Approaches to Quantum Error Mitigation Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration APEX-Agents UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms Functional Rule Extraction Method for Artificial Neural Networks On the Global Convergence of Risk-Averse Natural Policy Gradient Methods with Expected Conditional Risk Measures A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing Learning to Simulate: Generative Metamodeling via Quantile Regression Multi-class Support Vector Machine with Maximizing Minimum Margin ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation Hidden Minima in Two-Layer ReLU Networks Fusion of Quadratic Time-Frequency Analysis and Convolutional Neural Networks to Diagnose Bearing Faults Under Time-Varying Speeds Manipulating Feature Visualizations with Gradient Slingshots Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss Trading off Consistency and Dimensionality of Convex Surrogates for the Mode On the Identification of Temporally Causal Representation with Instantaneous Dependence Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Fully tensorial approach to hypercomplex neural networks An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic TabDPT: Scaling Tabular Foundation Models on Real Data Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide CausAdv: A Causal-based Framework for Detecting Adversarial Examples Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks Riemannian Denoising Model for Molecular Structure Optimization with Chemical Accuracy JANUS: A Difference-Oriented Analyzer For Financial Centralization Risks in Smart Contracts Optimization Insights into Deep Diagonal Linear Networks Learning Randomized Reductions From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning What Scalable Second-Order Information Knows for Pruning at Initialization Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data Scalable Equilibrium Sampling with Sequential Boltzmann Generators FMASH: Advancing Traditional Chinese Medicine Formula Recommendation with Efficient Fusion of Multiscale Associations of Symptoms and Herbs Dual-Domain Fusion for Semi-Supervised Learning Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't BPINN-EM-Post: Bayesian Physics-Informed Neural Network based Stochastic Electromigration Damage Analysis in the Post-void Phase VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG Reinforcement Learning from Human Feedback Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering Compton Form Factor Extraction using Quantum Deep Neural Networks Don't be lazy: CompleteP enables compute-efficient deep transformers Beyond Fixed Patches: Enhancing GPTs for Financial Prediction with Adaptive Segmentation and Learnable Wavelets ADMM-Based Training for Spiking Neural Networks Quantization Meets Reasoning: Exploring and Mitigating Degradation of Low-Bit LLMs in Mathematical Reasoning Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space Second-Order Convergence in Private Stochastic Non-Convex Optimization Zebra-Llama: Towards Extremely Efficient Hybrid Models A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction Knot So Simple: A Minimalistic Environment for Spatial Reasoning GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation Universal Harmful Information Synthesis via Model Crowdsourcing Automating Traffic Monitoring with SHM Sensor Networks via Vision-Supervised Deep Learning Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Laser Powder Bed Fusion Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems WaveletInception Networks for on-board Vibration-Based Infrastructure Health Monitoring WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge Adaptive Riemannian Graph Neural Networks SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference Revisiting Deep Information Propagation: Fractal Frontier and Finite-size Effects Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics UM3: Unsupervised Map to Map Matching Amortized Sampling with Transferable Normalizing Flows Discovering equations from data: symbolic regression in dynamical systems Towards a Unified View of Large Language Model Post-Training Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement Sy-FAR: Symmetry-based Fair Adversarial Robustness Precision Neural Networks: Joint Graph And Relational Learning FAWN: A MultiEncoder Fusion-Attention Wave Network for Integrated Sensing and Communication Indoor Scene Inference MOMEMTO: Patch-based Memory Gate Model in Time Series Foundation Model Causal Time Series Generation via Diffusion Models SlimDiff: Training-Free, Activation-Guided Hands-free Slimming of Diffusion Models Task-Aware Mixture-of-Experts for Time Series Analysis Transport Based Mean Flows for Generative Modeling Learning to Solve Optimization Problems Constrained with Partial Differential Equations A Hamiltonian driven Geometric Construction of Neural Networks on the Lognormal Statistical Manifold PepCompass: Navigating peptide embedding spaces using Riemannian Geometry Signature-Informed Transformer for Asset Allocation Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective Transport-Coupled Bayesian Flows for Molecular Graph Generation Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery Joint Discriminative-Generative Modeling via Dual Adversarial Training From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition GRACE: Graph Neural Networks for Locus-of-Care Prediction under Extreme Class Imbalance Joint Score-Threshold Optimization for Interpretable Risk Assessment LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing Post-Training as Reweighting: A Stochastic View of Reasoning Trajectories in Language Models ConSurv: Multimodal Continual Learning for Survival Analysis Observational Auditing of Label Privacy Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning Geometric-disentangelment Unlearning Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models GraphBench: Next-generation graph learning benchmarking Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales Balanced Accuracy: The Right Metric for Evaluating LLM Judges -- Explained through Youden's J statistic SIP-BMM: Constructing Capability-Efficiency Pareto Set of LLMs via Bayesian Model Merging with Structural Importance Prior Cluster-Dags as Powerful Background Knowledge For Causal Discovery Dynamics of Agentic Loops in Large Language Models: A Geometric Theory of Trajectories Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits ATLAS: Adaptive Topology-based Learning at Scale for Homophilic and Heterophilic Graphs Deep Legendre Transform Adaptive Multi-task Learning for Probabilistic Load Forecasting Mixture-of-Experts with Gradient Conflict-Driven Subspace Topology Pruning for Emergent Modularity Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs DiEC: Diffusion Embedded Clustering Physic-HM: Restoring Physical Generative Logic in Multimodal Anomaly Detection via Hierarchical Modulation M\"untz-Sz\'asz Networks: Neural Architectures with Learnable Power-Law Bases EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs PGOT: A Physics-Geometry Operator Transformer for Complex PDEs KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta Multi-Scenario Highway Lane-Change Intention Prediction: A Temporal Physics-Informed Multi-Modal Framework When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference Horizon Activation Mapping for Neural Networks in Time Series Forecasting Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers RPIQ: Residual-Projected Multi-Collaboration Closed-Loop and Single Instance Quantization for Visually Impaired Assistance SIGMA: Scalable Spectral Insights for LLM Model Collapse The Geometry of the Pivot: A Note on Lazy Pivoted Cholesky and Farthest Point Sampling AntiPaSTO: Self-Supervised Steering of Moral Reasoning On Evaluation of Unsupervised Feature Selection for Pattern Classification Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility Provably Safe Reinforcement Learning for Stochastic Reach-Avoid Problems with Entropy Regularization Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits Geometric Stability: The Missing Axis of Representations FairGU: Fairness-aware Graph Unlearning in Social Networks A pipeline for enabling path-specific causal fairness in observational health data Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series DeFlow: Decoupling Manifold Modeling and Value Maximization for Offline Policy Extraction Distributed Perceptron under Bounded Staleness, Partial Participation, and Noisy Communication Sample-Near-Optimal Agnostic Boosting with Improved Running Time Building Production-Ready Probes For Gemini Classification of high-dimensional data with spiked covariance matrix structure Functional dimension of feedforward ReLU neural networks Machine Learning Decoder for 5G NR PUCCH Format 0 Multiperiodic Processes: Ergodic Sources with a Sublinear Entropy MMT: A Multilingual and Multi-Topic Indian Social Media Dataset Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images Generative Language Models on Nucleotide Sequences of Human Genes Shape Completion with Prediction of Uncertain Regions Optimal Conditional Inference in Adaptive Experiments Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention Neural timescales from a computational perspective Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI MPAX: Mathematical Programming in JAX "They've Stolen My GPL-Licensed Model!": Toward Standardized and Transparent Model Licensing Tensorization of neural networks for improved privacy and interpretability Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future A survey on Clustered Federated Learning: Taxonomy, Analysis and Applications Network-Level Measures of Mobility from Aggregated Origin-Destination Data Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine Graceful forgetting: Memory as a process Variable transformations in consistent loss functions Simple Self Organizing Map with Visual Transformer Fairness-aware kidney exchange and kidney paired donation EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning Robust Channel Estimation for Optical Wireless Communications Using Neural Network Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions Flow-based Generative Modeling of Potential Outcomes and Counterfactuals Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor ALPCAHUS: Subspace Clustering for Heteroscedastic Data Can Large Language Models Infer Causal Relationships from Real-World Text? SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark Synthetic Geology: Structural Geology Meets Deep Learning Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning ANUBHUTI: A Comprehensive Corpus For Sentiment Analysis In Bangla Regional Languages Thompson Sampling in Function Spaces via Neural Operators SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems Pre-Trained Policy Discriminators are General Reward Models Aligning Generative Speech Enhancement with Perceptual Feedback Benchmarking Deception Probes via Black-to-White Performance Boosts Predicting Parkinson's Disease Progression Using Statistical and Neural Mixed Effects Models: Comparative Study on Longitudinal Biomarkers Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization Improving the Speaker Anonymization Evaluation's Robustness to Target Speakers with Adversarial Learning Scene-Aware Vectorized Memory Multi-Agent Framework with Cross-Modal Differentiated Quantization VLMs for Visually Impaired Assistance Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence Can the Waymo Open Motion Dataset Support Realistic Behavioral Modeling? A Validation Study with Naturalistic Trajectories Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning Quantum spatial best-arm identification via quantum walks Code2MCP: Transforming Code Repositories into MCP Services Building Large-Scale English-Romanian Literary Translation Resources with Open Models Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots QASTAnet: A DNN-based Quality Metric for Spatial Audio Evaluation-Aware Reinforcement Learning Objective Evaluation of Prosody and Intelligibility in Speech Synthesis via Conditional Prediction of Discrete Tokens Automating Sensor Characterization with Bayesian Optimization Message passing-based inference in an autoregressive active inference agent FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting Perspectives on Stochastic Localization Think Then Embed: Generative Context Improves Multimodal Embedding Relational Database Distillation: From Structured Tables to Condensed Graph Data PAC Learnability in the Presence of Performativity Calibrating Generative Models to Distributional Constraints Geopolitics, Geoeconomics and Risk: A Machine Learning Approach MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling HAMLOCK: HArdware-Model LOgically Combined attacK Soft Instruction De-escalation Defense scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration Cyclic Counterfactuals under Shift-Scale Interventions Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base Setting $\varepsilon$ is not the Issue in Differential Privacy PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition Forgetting-MarI: LLM Unlearning via Marginal Information Regularization Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis An Elementary Proof of the Near Optimality of LogSumExp Smoothing Improving the Accuracy of Amortized Model Comparison with Self-Consistency Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models Prompt-Induced Over-Generation as Denial-of-Service: A Black-Box Attack-Side Benchmark Quantitative Understanding of PDF Fits and their Uncertainties Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning Local EGOP for Continuous Index Learning A High-Recall Cost-Sensitive Machine Learning Framework for Real-Time Online Banking Transaction Fraud Detection Mechanisms are Transferable: Data-Efficient Low-Resource Adaptation via Circuit-Targeted Supervised Fine-Tuning Learning Domain-Invariant Representations for Cross-Domain Image Registration via Scene-Appearance Disentanglement LatencyPrism: Online Non-intrusive Latency Sculpting for SLO-Guaranteed LLM Inference SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection Exact Constraint Enforcement in Physics-Informed Extreme Learning Machines using Null-Space Projection FrameworkArxiv cs.AI
MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings? A Mind Cannot Be Smeared Across Time Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models Reasoning Stabilization Point: A Training-Time Signal for Stable Evidence and Shortcut Reliance PRISM: Learning Design Knowledge from Data for Stylistic Design Improvement Risk-Aware Human-in-the-Loop Framework with Adaptive Intrusion Response for Autonomous Vehicles A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation Multi-agent DRL-based Lane Change Decision Model for Cooperative Planning in Mixed Traffic POLARIS: Typed Planning and Governed Execution for Agentic AI in Back-Office Automation AI Co-Scientist for Knowledge Synthesis in Medical Contexts: A Proof of Concept Imandra CodeLogician: Neuro-Symbolic Reasoning for Precise Analysis of Software Logic Human-AI Collaborative Inductive Thematic Analysis: AI Guided Analysis and Human Interpretive Authority MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment AEMA: Verifiable Evaluation Framework for Trustworthy and Controlled Agentic LLM Systems LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion Kernel-Based Learning of Safety Barriers Are LLMs Ready for TOON? Benchmarking Structural Correctness-Sustainability Trade-offs in Novel Structured Output Formats A Multi-Agent System for Generating Actionable Business Advice ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents Abstract Argumentation with Subargument Relations Partial Reasoning in Language Models: Search and Refinement Guided by Uncertainty UniMo: Unified Motion Generation and Understanding with Chain of Thought DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants TIDE: A Trace-Informed Depth-First Exploration for Planning with Temporally Extended Goals Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains Docs2Synth: A Synthetic Data Trained Retriever Framework for Scanned Visually Rich Documents Understanding ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents Survival is the Only Reward: Sustainable Self-Training Through Environment-Mediated Selection Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence MARO: Learning Stronger Reasoning from Social Interaction Actionable Advice from Reviews via Mixture of LoRA Experts: A Two-LLM Pipeline for Issue Extraction and Business Recommendations Psych\=eChat: An Empathic Framework Focused on Emotion Shift Tracking and Safety Risk Analysis in Psychological Counseling Are LLMs Smarter Than Chimpanzees? An Evaluation on Perspective Taking and Knowledge State Estimation Large Language Model for OWL Proofs Failure Modes in Multi-Hop QA: The Weakest Link Law and the Recognition Bottleneck Agentic Reasoning for Large Language Models MemeLens: Multilingual Multitask VLMs for Memes Rethinking the AI Scientist: Interactive Multi-Agent Workflows for Scientific Discovery How Clinicians Think and What AI Can Learn From It Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models MedConsultBench: A Full-Cycle, Fine-Grained, Process-Aware Benchmark for Medical Consultation Agents Empowering All-in-Loop Health Management of Spacecraft Power System in the Mega-Constellation Era via Human-AI Collaboration Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts Teaching Large Reasoning Models Effective Reflection Vision Language Models for Optimization-Driven Intent Processing in Autonomous Networks VIRO: Robust and Efficient Neuro-Symbolic Reasoning with Verification for Referring Expression Comprehension SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability MirrorGuard: Toward Secure Computer-Use Agents via Simulation-to-Real Reasoning Correction SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data Human Emotion Verification by Action Languages via Answer Set Programming Actionable Interpretability Must Be Defined in Terms of Symmetries MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching Real-Time Deadlines Reveal Temporal Awareness Failures in LLM Strategic Dialogues RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning Improving the Safety and Trustworthiness of Medical AI via Multi-Agent Evaluation Loops PepEDiff: Zero-Shot Peptide Binder Design via Protein Embedding Diffusion The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models A Lightweight Modular Framework for Constructing Autonomous Agents Driven by Large Language Models: Design, Implementation, and Applications in AgentForge Explicit Cognitive Allocation: A Principle for Governed and Auditable Inference in Large Language Models SpatialBench-UC: Uncertainty-Aware Evaluation of Spatial Prompt Following in Text-to-Image Generation Context and Transcripts Improve Detection of Deepfake Audios of Public Figures Graph Neural Networks are Heuristics Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement AgenticRed: Optimizing Agentic Systems for Automated Red-teaming Reasoning While Recommending: Entropy-Guided Latent Reasoning in Generative Re-ranking Models TruthTensor: Evaluating LLMs Human Imitation through Prediction Market Drift and Holistic Reasoning ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution Leveraging ChatGPT and Other NLP Methods for Identifying Risk and Protective Behaviors in MSM: Social Media and Dating apps Text Analysis AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent Reasoning is a Modality SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System Motion-to-Response Content Generation via Multi-Agent AI System with Real-Time Safety Verification DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems Foundations of Global Consistency Checking with Noisy LLM Oracles Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning Understanding Mental States to Guide Social Influence in Multi-Person Group Dialogue Hidden in Plain Text: Measuring LLM Deception Quality Against Human Baselines Using Social Deduction Games Reasoning or Fluency? Dissecting Probabilistic Confidence in Best-of-N Selection Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments LifeAgentBench: A Multi-dimensional Benchmark and Agent for Personal Health Assistants in Digital Health Human Simulation Computation: A Human-Inspired Framework for Adaptive AI Systems PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance Toward Efficient Agents: Memory, Tool learning, and Planning Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs Do LLMs Give Good Romantic Relationship Advice? A Study on User Satisfaction and Attitude Change Knowledge Graph Construction for Stock Markets with LLM-Based Explainable Reasoning SNAP: A Plan-Driven Framework for Controllable Interactive Narrative Generation AI for Proactive Mental Health: A Multi-Institutional, Longitudinal, Randomized Controlled Trial NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation "Jutters" Artificial Intelligence as a Training Tool in Clinical Psychology: A Comparison of Text-Based and Avatar Simulations Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Reality A Comparative Study of Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics Medication counseling with large language models: balancing flexibility and rigidity CSyMR: Benchmarking Compositional Symbolic Muisc Reasoning With MIR Tool Integration DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research Context Discipline and Performance Correlation: Analyzing LLM Performance and Quality Degradation Under Varying Context Lengths Compass-Embedding v4: Robust Contrastive Learning for Multilingual E-commerce Embeddings Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment Concept Attractors in LLMs and their Applications LimAgents: Multi-Agent LLMs for Generating Research Limitations Bielik 11B v3: Multilingual Large Language Model for European Languages Speculative Decoding: Performance or Illusion? Enhancing the QA Model through a Multi-domain Debiasing Framework Overview of the SciHigh Track at FIRE 2025: Research Highlight Generation from Scientific Papers Bit-politeia: An AI Agent Community in Blockchain Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways PLA-Serve: A Prefill-Length-Aware LLM Serving System EPD-Serve: A Flexible Multimodal EPD Disaggregation Inference Serving System On Ascend Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning Hardware-Aware Reformulation of Convolutions for Efficient Execution on Specialized AI Hardware: A Case Study on NVIDIA Tensor Cores Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective Geometric Attention: A Regime-Explicit Operator Semantics for Transformer Attention NoiseFormer -- Noise Diffused Symmetric Attention Transformer Syllabic Agglutinative Tokenizations for Indonesian LLM: A Study from Gasing Literacy Learning System Predicting When to Trust Vision-Language Models for Spatial Reasoning Reinforcement Learning for Dynamic Workflow Optimization in CI/CD Pipelines Large Language Model Agent for User-friendly Chemical Process Simulations Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification WISP: Waste- and Interference-Suppressed Distributed Speculative LLM Serving at the Edge via Dynamic Drafting and SLO-Aware Batching Size is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep Learning Towards AGI A Pragmatic Approach Towards Self Evolving Agent Activation Sensitivity as a Unifying Principle for Post-Training Quantization Serverless AI Security: Attack Surface Analysis and Runtime Protection Mechanisms for FaaS-Based Machine Learning MATEX: Multi-scale Attention and Text-guided Explainability of Medical Vision-Language Models Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning Pigment Network Detection and Classification in Dermoscopic Images Using Directional Imaging Algorithms and Convolutional Neural Networks Generating metamers of human scene understanding HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network Attesting Model Lineage by Consisted Knowledge Evolution with Fine-Tuning Trajectory Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application Towards Efficient Image Deblurring for Edge Deployment Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis Semantic Caching and Intent-Driven Context Optimization for Multi-Agent Natural Language to Code Systems SpecMap: Hierarchical LLM Agent for Datasheet-to-Code Traceability Link Recovery in Systems Engineering Telling Human and Machine Handwriting Apart PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding LIME-LLM: Probing Models with Fluent Counterfactuals, Not Broken Text Early Linguistic Pattern of Anxiety from Social Media Using Interpretable Linguistic Features: A Multi-Faceted Validation Study with Author-Disjoint Evaluation Industry-Aligned Granular Topic Modeling Lightweight Self-Supervised Detection of Fundamental Frequency and Accurate Probability of Voicing in Monophonic Music Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Models Translation as a Scalable Proxy for Multilingual Evaluation RobotDesignGPT: Automated Robot Design Synthesis using Vision Language Models ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue System Cascaded Transformer for Robust and Scalable SLA Decomposition via Amortized Optimization Utilizing Metadata for Better Retrieval-Augmented Generation Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces AI for Green Spaces: Leveraging Autonomous Navigation and Computer Vision for Park Litter Removal TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models Towards Airborne Object Detection: A Deep Learning Analysis LSTM-MAS: A Long Short-Term Memory Inspired Multi-Agent System for Long-Context Understanding Enhancing LLM-Based Data Annotation with Error Decomposition Big Data Workload Profiling for Energy-Aware Cloud Resource Management Double-Calibration: Towards Trustworthy LLMs via Calibrating Knowledge and Reasoning Confidence R$^2$PO: Decoupling Training Trajectories from Inference Responses for LLM Reasoning $\texttt{MemoryRewardBench}$: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs Hybrid IDS Using Signature-Based and Anomaly-Based Detection Robust Verification of Concurrent Stochastic Games Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models \textit{FocaLogic}: Logic-Based Interpretation of Visual Model Decisions A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer Codebook-Injected Dialogue Segmentation for Multi-Utterance Constructs Annotation: LLM-Assisted and Gold-Label-Free Evaluation Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset Conditional Random Fields for Interactive Refinement of Histopathological Predictions Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding Large language models struggle with ethnographic text annotation Powerful Training-Free Membership Inference Against Autoregressive Language Models SynQP: A Framework and Metrics for Evaluating the Quality and Privacy Risk of Synthetic Data Bengali Text Classification: An Evaluation of Large Language Model Approaches Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning Segment and Matte Anything in a Unified Model Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models Aletheia: What Makes RLVR For Code Verifiers Tick? Do Neural Codecs Generalize? A Controlled Study Across Unseen Languages and Non-Speech Tasks Speculative Sampling with Reinforcement Learning Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models Less is More: Label-Guided Summarization of Procedural and Instructional Videos Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models Predictive Prototyping: Evaluating Design Concepts with ChatGPT CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training Conversational Context Classification: A Representation Engineering Approach TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization A Two-Stage Globally-Diverse Adversarial Attack for Vision-Language Pre-training Models GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer Explanova: Automatically Discover Data Insights in N \times M Table via XAI Combined LLM Workflow The Expert Validation Framework (EVF): Enabling Domain Expert Control in AI Engineering IceWatch: Forecasting Glacial Lake Outburst Floods (GLOFs) using Multimodal Deep Learning Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption Time-Continuous Modeling for Temporal Affective Pattern Recognition in LLMs How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge Zero-Permission Manipulation: Can We Trust Large Multimodal Model Powered GUI Agents? SimpleMatch: A Simple and Strong Baseline for Semantic Correspondence From Prompts to Pavement: LMMs-based Agentic Behavior-Tree Generation Framework for Autonomous Vehicles A Scalable Entity-Based Framework for Auditing Bias in LLMs NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation Weaknesses of Facial Emotion Recognition Systems Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants Orthogonalized Policy Optimization:Decoupling Sampling Geometry from Optimization Geometry in RLHF Purification Before Fusion: Toward Mask-Free Speech Enhancement for Robust Audio-Visual Speech Recognition Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery Adversarial Defense in Vision-Language Models: An Overview AgenTRIM: Tool Risk Mitigation for Agentic AI Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty Harmonizing the Arabic Audio Space with Data Scheduling Cooperative Multi-agent RL with Communication Constraints Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition Encoding Emotion Through Self-Supervised Eye Movement Reconstruction Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning Benchmarking Concept-Spilling Across Languages in LLMs Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory Primate-like perceptual decision making emerges through deep recurrent reinforcement learning Ontology-aligned structuring and reuse of multimodal materials data and workflows towards automatic reproduction Do MLLMs See What We See? Analyzing Visualization Literacy Barriers in AI Systems SLAP: Scalable Language-Audio Pretraining with Variable-Duration Audio and Multi-Objective Training A Cloud-based Multi-Agentic Workflow for Science Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction Mixed Precision PointPillars for Efficient 3D Object Detection with TensorRT Unbounded Harms, Bounded Law: Liability in the Age of Borderless AI Intelligent Documentation in Medical Education: Can AI Replace Manual Case Logging? Explanation Multiplicity in SHAP: Characterization and Assessment Augmenting Question Answering with A Hybrid RAG Approach Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations A Shared Geometry of Difficulty in Multilingual Language Models TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents AirHunt: Bridging VLM Semantics and Continuous Planning for Efficient Aerial Object Navigation A Graph Prompt Fine-Tuning Method for WSN Spatio-Temporal Correlation Anomaly Detection PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support VISPA: Pluralistic Alignment via Automatic Value Selection and Activation Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction Distilling Time Series Foundation Models for Efficient Forecasting SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data Fisher-Orthogonal Projected Natural Gradient Descent for Continual Learning Cognition spaces: natural, artificial, and hybrid The Cost of EFX: Generalized-Mean Welfare and Complexity Dichotomies with Few Surplus Items Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition YOLO26: An Analysis of NMS-Free End to End Framework for Real-Time Object Detection Communication Methods in Multi-Agent Reinforcement Learning AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation SciCoQA: Quality Assurance for Scientific Paper--Code Alignment Your Privacy Depends on Others: Collusion Vulnerabilities in Individual Differential Privacy ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation Membership Inference Test: Auditing Training Data in Object Classification Models Online Continual Learning for Time Series: a Natural Score-driven Approach On the Evidentiary Limits of Membership Inference for Copyright Auditing The Post-Turing Condition: Conceptualising Artificial Subjectivity and Synthetic Sociality Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design AI-generated data contamination erodes pathological variability and diagnostic reliability Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models ArchAgent: Scalable Legacy Software Architecture Recovery with LLMs HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads Bi-Attention HateXplain : Taking into account the sequential aspect of data during explainability in a multi-task context PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning Analysis of Long Range Dependency Understanding in State Space Models TinyML-Enabled IoT for Sustainable Precision Irrigation METIS: Mentoring Engine for Thoughtful Inquiry & Solutions CORE-T: COherent REtrieval of Tables for Text-to-SQL IntAgent: NWDAF-Based Intent LLM Agent Towards Advanced Next Generation Networks TVWorld: Foundations for Remote-Control TV Agents Training instability in deep learning follows low-dimensional dynamical principles From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models Scientific production in the era of Large Language Models Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision Incorporating Q&A Nuggets into Retrieval-Augmented Generation Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets? Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction A Semantic Decoupling-Based Two-Stage Rainy-Day Attack for Revealing Weather Robustness Deficiencies in Vision-Language Models KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development? Aligning Agentic World Models via Knowledgeable Experience Learning Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment CooperBench: Why Coding Agents Cannot be Your Teammates Yet Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme Modeling of Climate Discourse The AI Genie Phenomenon and Three Types of AI Chatbot Addiction: Escapist Roleplays, Pseudosocial Companions, and Epistemic Rabbit Holes LLM-as-RNN: A Recurrent Language Model for Memory Updates and Sequence Prediction Bounded Minds, Generative Machines: Envisioning Conversational AI that Works with Human Heuristics and Reduces Bias Risk Organ-Aware Attention Improves CT Triage and Classification Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation Tasks Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility Deep Image Prior with L0 Gradient Regularizer for Image Smoothing Reasoning with Pixel-level Precision: QVLM Architecture and SQuID Dataset for Quantitative Geospatial Analytics Local-to-Global Logical Explanations for Deep Vision Models Integrating Virtual Reality and Large Language Models for Team-Based Non-Technical Skills Training and Evaluation in the Operating Room Using deep learning for predicting cleansing quality of colon capsule endoscopy images TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization MOSLD-Bench: Multilingual Open-Set Learning and Discovery Benchmark for Text Categorization Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs Preconditioning Benefits of Spectral Orthogonalization in Muon A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeing CatMaster: An Agentic Autonomous System for Computational Heterogeneous Catalysis Research Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs MN-TSG:Continuous Time Series Generation with Irregular Observations When Wording Steers the Evaluation: Framing Bias in LLM judges HateXScore: A Metric Suite for Evaluating Reasoning Quality in Hate Speech Explanations ButterflyMoE: Sub-Linear Ternary Experts via Structured Butterfly Orbits Multi-objective fluorescent molecule design with a data-physics dual-driven generative framework Self-Improvement as Coherence Optimization: A Theoretical Account GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Transformer Models TREX: Tokenizer Regression for Optimal Data Mixture Vulnerability of LLMs' Belief Systems? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions Machine learning based radiative parameterization scheme and its performance in operational reforecast experiments Diffusion In Diffusion: Breaking the Autoregressive Bottleneck in Block Diffusion Models CauScientist: Teaching LLMs to Respect Data for Causal Discovery CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models Quadratic Upper Bound for Boosting Robustness Fusion Segment Transformer: Bi-Directional Attention Guided Fusion Network for AI-Generated Music Detection Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge Why Does the LLM Stop Computing: An Empirical Study of User-Reported Failures in Open-Source LLMs Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning Temporal-Spatial Decouple before Act: Disentangled Representation Learning for Multimodal Sentiment Analysis The Orchestration of Multi-Agent Systems: Architectures, Protocols, and Enterprise Adoption HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference End-to-End Reverse Screening Identifies Protein Targets of Small Molecules Using HelixFold3 Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation Performance and Complexity Trade-off Optimization of Speech Models During Training Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs Who Should Have Surgery? A Comparative Study of GenAI vs Supervised ML for CRS Surgical Outcome Prediction Simulated Ignorance Fails: A Systematic Study of LLM Behaviors on Forecasting Problems Before Model Knowledge Cutoff Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents Towards robust long-context understanding of large language model via active recap learning Pro-AI Bias in Large Language Models vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting Insight: Interpretable Semantic Hierarchies in Vision-Language Encoders DroneVLA: VLA based Aerial Manipulation HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation Confident Rankings with Fewer Items: Adaptive LLM Evaluation with Continuous Scores OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3 TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography Asymmetric regularization mechanism for GAN training with Variational Inequalities IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning Stream-Voice-Anon: Enhancing Utility of Real-Time Speaker Anonymization via Neural Audio Codec and Language Models RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning "The Whole Is Greater Than the Sum of Its Parts": A Compatibility-Aware Multi-Teacher CoT Distillation Framework torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch DAME: Duration-Aware Matryoshka Embedding for Duration-Robust Speaker Verification MATE: Matryoshka Audio-Text Embeddings for Open-Vocabulary Keyword Spotting Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants Collective intelligence in science: direct elicitation of diverse information from experts with unknown information structure Kakugo: Distillation of Low-Resource Languages into Small Language Models LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-Modal MRI POCI-Diff: Position Objects Consistently and Interactively with 3D-Layout Guided Diffusion XCR-Bench: A Multi-Task Benchmark for Evaluating Cultural Reasoning in LLMs Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning Two-Stream temporal transformer for video action classification '1'-bit Count-based Sorting Unit to Reduce Link Power in DNN Accelerators Zero-shot adaptable task planning for autonomous construction robots: a comparative study of lightweight single and multi-AI agent systems Causal feature selection framework for stable soft sensor modeling based on time-delayed cross mapping Riemannian Liquid Spatio-Temporal Graph Network Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models LLM Augmented Intervenable Multimodal Adaptor for Post-operative Complication Prediction in Lung Cancer Surgery ConceptCaps -- a Distilled Concept Dataset for Interpretability in Music Models Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum A model of errors in transformers InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning Q-learning with Adjoint Matching Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration APEX-Agents VideoMaMa: Mask-Guided Video Matting via Generative Prior AlphaMapleSAT: An MCTS-based Cube-and-Conquer SAT Solver for Hard Combinatorial Problems MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments Benchmarking AI scientists for omics data driven biological discovery Can Large Language Models Infer Causal Relationships from Real-World Text? Hypothesis Generation via LLM-Automated Language Bias for ILP EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents Benchmarking Deception Probes via Black-to-White Performance Boosts A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence ReflecSched: Solving Dynamic Flexible Job-Shop Scheduling via LLM-Powered Hierarchical Reflection V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peaking FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models Enhancing Retrieval Augmentation via Adversarial Collaboration Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots Evaluation-Aware Reinforcement Learning humancompatible.detect: a Python Toolkit for Detecting Bias in AI Models Visual serial processing deficits explain divergences in human and VLM reasoning Message passing-based inference in an autoregressive active inference agent When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis Think Then Embed: Generative Context Improves Multimodal Embedding Structuring Reasoning for Complex Rules Beyond Flat Representations AgentAsk: Multi-Agent Systems Need to Ask An approach for systematic decomposition of complex llm tasks Mobile Coverage Analysis using Crowdsourced Data ReviewSense: Transforming Customer Review Dynamics into Actionable Business Insights Continual Knowledge Adaptation for Reinforcement Learning ETOM: A Five-Level Benchmark for Evaluating Tool Orchestration within the MCP Ecosystem A Survey of AI Scientists Cyclic Counterfactuals under Shift-Scale Interventions Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs Forgetting-MarI: LLM Unlearning via Marginal Information Regularization Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance Active Inference in Discrete State Spaces from First Principles Academic journals' AI policies fail to curb the surge in AI-assisted academic writing Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models Semantic Alignment of Multilingual Knowledge Graphs via Contextualized Vector Projections Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement Learning Latent Action World Models In The Wild Safety Not Found (404): Hidden Risks of LLM-Based Robotics Decision Making FinForge: Semi-Synthetic Financial Benchmark Generation ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT) Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation Steering Matrix as Plan: Structured Logical Reasoning with Feedback-Driven Replanning ChartComplete: A Taxonomy-based Inclusive Chart Dataset AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts MiCA: A Mobility-Informed Causal Adapter for Lightweight Epidemic Forecasting Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges Shape Completion with Prediction of Uncertain Regions Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs Fusion of Quadratic Time-Frequency Analysis and Convolutional Neural Networks to Diagnose Bearing Faults Under Time-Varying Speeds Manipulating Feature Visualizations with Gradient Slingshots DiffusionAgent: Navigating Expert Models for Agentic Image Generation Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models Fully tensorial approach to hypercomplex neural networks Super Monotonic Alignment Search Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness Probabilistic Analysis of Copyright Disputes and Generative AI Safety Undesirable Memorization in Large Language Models: A Survey TabDPT: Scaling Tabular Foundation Models on Real Data CausAdv: A Causal-based Framework for Detecting Adversarial Examples Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks Intention Knowledge Graph Construction for User Intention Relation Modeling Towards a constructive framework for control theory FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning Object-Centric Latent Action Learning What Scalable Second-Order Information Knows for Pruning at Initialization Generative Personality Simulation via Theory-Informed Structured Interview Comparing the Framing Effect in Humans and LLMs on Naturally Occurring Texts Scalable Equilibrium Sampling with Sequential Boltzmann Generators Simple Self Organizing Map with Visual Transformer Dual-Domain Fusion for Semi-Supervised Learning Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm The Case for "Thick Evaluations" of Cultural Representation in AI ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models for High-Definition Synthesis AI-Based Vulnerability Analysis of NFT Smart Contracts Beyond Task and Motion Planning: Hierarchical Robot Planning with General-Purpose Skills Fine-grained spatial-temporal perception for gas leak segmentation Don't be lazy: CompleteP enables compute-efficient deep transformers ADMM-Based Training for Spiking Neural Networks Quantization Meets Reasoning: Exploring and Mitigating Degradation of Low-Bit LLMs in Mathematical Reasoning Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space Second-Order Convergence in Private Stochastic Non-Convex Optimization A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction EVADE-Bench: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications Knot So Simple: A Minimalistic Environment for Spatial Reasoning Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge Universal Harmful Information Synthesis via Model Crowdsourcing Federated Unsupervised Semantic Segmentation Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics Synthetic Geology: Structural Geology Meets Deep Learning The CAISAR Platform: Extending the Reach of Machine Learning Specification and Verification Challenges & Opportunities with LLM-Assisted Visualization Retargeting SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems K-Function: Joint Pronunciation Transcription and Feedback for Evaluating Kids Language Function CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training Aligning Generative Speech Enhancement with Perceptual Feedback KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning? AI-Native Open RAN for Non-Terrestrial Networks: An Overview SHACL Validation in the Presence of Ontologies: Semantics and Rewriting Techniques Shared representations in brains and models reveal a two-route cortical organization during scene perception Paired Image Generation with Diffusion-Guided Diffusion Models Development and Evaluation of a Standardized Ontology for Non-Invasive Respiratory Support to Improve Interoperability and Clinical Reasoning in Acute Care Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis Large AI Model-Enabled Secure Communications in Low-Altitude Wireless Networks: Concepts, Perspectives and Case Study Wukong Framework for Not Safe For Work Detection in Text-to-Image systems A Deep Reinforcement Learning-Based TCP Congestion Control Algorithm: Design, Simulation, and Evaluation Large AI Models for Wireless Physical Layer SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics ToxiFrench: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation Amortized Sampling with Transferable Normalizing Flows Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation Can the Waymo Open Motion Dataset Support Realistic Behavioral Modeling? A Validation Study with Naturalistic Trajectories Towards a Unified View of Large Language Model Post-Training Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning Quantum spatial best-arm identification via quantum walks Building Large-Scale English-Romanian Literary Translation Resources with Open Models Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks Sy-FAR: Symmetry-based Fair Adversarial Robustness SoundCompass: Navigating Target Sound Extraction With Effective Directional Clue Integration In Complex Acoustic Scenes GeLoc3r: Enhancing Relative Camera Pose Regression with Geometric Consistency Regularization Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead Signature-Informed Transformer for Asset Allocation Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective Image-to-Video Transfer Learning based on Image-Language Foundation Models: A Comprehensive Survey DocReward: A Document Reward Model for Structuring and Stylizing Harnessing Consistency for Robust Test-Time LLM Ensemble Joint Discriminative-Generative Modeling via Dual Adversarial Training From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts GRACE: Graph Neural Networks for Locus-of-Care Prediction under Extreme Class Imbalance Perception, Understanding and Reasoning, A Multimodal Benchmark for Video Fake News Detection Comparative Study of UNet-based Architectures for Liver Tumor Segmentation in Multi-Phase Contrast-Enhanced Computed Tomography Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation Post-Training as Reweighting: A Stochastic View of Reasoning Trajectories in Language Models Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval Convergence dynamics of Agent-to-Agent Interactions with Misaligned objectives Biased Minds Meet Biased AI: How Class Imbalance Shapes Appropriate Reliance and Interacts with Human Base Rate Neglect Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue Geometric-disentangelment Unlearning Principled Context Engineering for RAG: Statistical Guarantees via Conformal Prediction Who Owns the Knowledge? Copyright, GenAI, and the Future of Academic Publishing GraphBench: Next-generation graph learning benchmarking Benchmarking Deep Neural Networks for Modern Recommendation Systems Balanced Accuracy: The Right Metric for Evaluating LLM Judges -- Explained through Youden's J statistic Hierarchy-Aware Multimodal Unlearning for Medical AI Cluster-Dags as Powerful Background Knowledge For Causal Discovery Dynamics of Agentic Loops in Large Language Models: A Geometric Theory of Trajectories A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning Beyond Blind Spots: Analytic Hints for Mitigating LLM-Based Evaluation Pitfalls AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning Fun-Audio-Chat Technical Report D^3ETOR: Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs DiEC: Diffusion Embedded Clustering InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation M\"untz-Sz\'asz Networks: Neural Architectures with Learnable Power-Law Bases EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from Scientific Literature Prompt-Induced Over-Generation as Denial-of-Service: A Black-Box Attack-Side Benchmark Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time MOSS Transcribe Diarize Technical Report OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization Deferred Commitment Decoding for Diffusion Language Models DeCode: Decoupling Content and Delivery for Medical QA Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection Normalized Conditional Mutual Information Surrogate Loss for Deep Neural Classifiers Training-Free Adaptation of New-Generation LLMs using Legacy Clinical Models From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents IDESplat: Iterative Depth Probability Estimation for Generalizable 3D Gaussian Splatting A Framework for Personalized Persuasiveness Prediction via Context-Aware User Profiling SparseOccVLA: Bridging Occupancy and Vision-Language Models via Sparse Queries for Unified 4D Scene Understanding and Planning Mechanisms are Transferable: Data-Efficient Low-Resource Adaptation via Circuit-Targeted Supervised Fine-Tuning ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models DNF: Dual-Layer Nested Fingerprinting for Large Language Model Intellectual Property Protection On Evaluation of Unsupervised Feature Selection for Pattern Classification Large Multimodal Models for Embodied Intelligent Driving: The Next Frontier in Self-Driving? STAGE: A Benchmark for Knowledge Graph Construction, Question Answering, and In-Script Role-Playing over Movie Screenplays Auditing Student-AI Collaboration: A Case Study of Online Graduate CS Students MemRec: Collaborative Memory-Augmented Agentic Recommender System LAUDE: LLM-Assisted Unit Test Generation and Debugging of Hardware DEsigns Revisiting Software Engineering Education in the Era of Large Language Models: A Curriculum Adaptation and Academic Integrity Framework Learning Domain-Invariant Representations for Cross-Domain Image Registration via Scene-Appearance Disentanglement TranslateGemma Technical Report SSVP: Synergistic Semantic-Visual Prompting for Industrial Zero-Shot Anomaly Detection Mikasa: A Character-Driven Emotional AI Companion Inspired by Japanese Oshi Culture FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks FairGU: Fairness-aware Graph Unlearning in Social Networks Bridging Semantic Understanding and Popularity Bias with LLMs LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities A pipeline for enabling path-specific causal fairness in observational health data Kinematic Tokenization: Optimization-Based Continuous-Time Tokens for Learnable Decision Policies in Noisy Time Series Global Context Compression with Interleaved Vision-Text Transformation SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals Deep GraphRAG: A Balanced Approach to Hierarchical Retrieval and Adaptive Integration Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs Building Production-Ready Probes For GeminiGithub Trending (Python)
microsoft/agent-lightning verygoodplugins/automem yusufkaraaslan/Skill_Seekers public-apis/public-apis thu-ml/tianshou ahujasid/blender-mcp google/langextract OpenBMB/VoxCPM yichuan-w/LEANN serengil/deepface EveryInc/compound-engineering-plugin VectifyAI/PageIndex davila7/claude-code-templatesGithub Trending (C)
DavidXanatos/TaskExplorer raspberrypi/pico-examples Syllo/nvtop micropython/micropython reactos/reactos curl/curl voidtools/voidImageViewer tianocore/edk2 tmux/tmux Zelda64Recomp/Zelda64Recomp OpenMathLib/OpenBLAS FreeRTOS/FreeRTOS-Kernel betaflight/betaflight netdata/netdata TinyCC/tinyccNature
Editorial Expression of Concern: The X-linked lymphoproliferative-disease gene product SAP regulates signals induced through the co-receptor SLAM Publisher Correction: Multiple oestradiol functions inhibit ferroptosis and acute kidney injury Publisher Correction: Polyamine-dependent metabolic shielding regulates alternative splicing The biggest ‘Schrödinger’s cat’ yet — physicists put 7,000 atoms in superposition ADHD is on the rise, but why? Afar fossil shows broad distribution and versatility of Paranthropus Construction of complex and diverse DNA sequences using DNA three-way junctions Extreme barocaloric effect at dissolution Temporal tissue dynamics from a spatial snapshot Symmetry, microscopy and spectroscopy signatures of altermagnetism Pyramidal neurons proportionately alter cortical interneuron subtypes Rock art from at least 67,800 years ago in Sulawesi Core–envelope miscibility in sub-Neptunes and super-Earths Four camera-type eyes in the earliest vertebrates from the Cambrian Period Identification of an allosteric site on the E3 ligase adapter cereblon Predatory aggression evolved through adaptations to noradrenergic circuits The potential for bridgmanite megacrysts to drive magma ocean segregation Ageing promotes microglial accumulation of slow-degrading synaptic proteins Oxygen-free metabolism in the bird inner retina supported by the pecten Critical role for a high-plasticity cell state in lung cancer Large-scale dynamos driven by shear-flow-induced jets Common variation in meiosis genes shapes human recombination and aneuploidy Dissecting gene regulatory networks governing human cortical cell fate Quantum spin resonance in engineered proteins for multimodal sensing LetA defines a structurally distinct transporter family Probing quantum mechanics with nanoparticle matter-wave interferometry Relatively warm deep-water formation persisted in the Last Glacial Maximum Baby-to-baby strain transmission shapes the developing gut microbiome Fibre integrated circuits by a multilayered spiral architecture Fibroblastic reticular cells direct the initiation of T cell responses via CD44 Biological insights into schizophrenia from ancestrally diverse populations Accretion bursts crystallize silicates in a planet-forming disk Convergent evolution of scavenger cell development at brain borders Atmospheric microplastic emissions from land and ocean The transition from monocyte to tissue-resident macrophage requires DHPS Untangling the connection between dopamine and ADHD Quantum effect observed for biggest objects yet Six highlights from ADHD research More than half of authors of leading research say funding is declining Illuminating how the bird inner retina works without oxygen solves a 350-year-old structural mystery Schrödinger’s cat just got bigger: quantum physicists create largest ever ‘superposition’ Is paracetamol in pregnancy a risk factor for ADHD? A variety of early hominin species shared the Afar region of Ethiopia ADHD treatments move beyond stimulants The rich stopped buying yachts the year time went on sale Sending babies to nursery completely reshapes their microbiomes An eye-popping discovery: early vertebrates had four eyes rather than two Why ADHD goes undiagnosed in girls AI and nuclear energy feature strongly in agenda-setting technologies for 2026 Hand stencils in Indonesian cave are world’s oldest known artworks ‘Remote controlled’ proteins illuminate living cells Seven technologies to watch in 2026 Girls are starting puberty younger — why, and what are the risks? Why teens with ADHD are so vulnerable to the perils of social media Author Correction: Anthropogenic influences on major tropical cyclone events How much protein do you actually need? To gain public trust, make art central to science communication US funding cuts harm aspiring young scientists, too Study decision-making to understand how technology will affect behaviour Fossil-fuel phase out is not enough: countries must remove atmospheric carbon Mistaken identity and the psychology of human recognition Daily briefing: The first documented case of tool use in cattle US Congress set to reject Trump’s sweeping science budget cuts Trump one year on: How six US researchers plan to protect science amid chaos and cuts The US is quitting 66 global agencies: what does it mean for science? US science after a year of Trump: what has been lost and what remains ‘Shattered’: US scientists speak out about how Trump policies disrupted their careers Collective intelligence for AI-assisted chemical synthesis Publisher Correction: A fault-tolerant neutral-atom architecture for universal quantum computation Editorial Expression of Concern: En passant neurotrophic action of an intermediate axonal target in the developing mammalian CNS Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials Floating science stations: my month on a research vessel looking after buoys ‘Greed is the iron cage of our times’ — why nationalism is here to stay Can ‘toxic masculinity’ be measured? Scientists try to quantify controversial term Forget formalism: mathematics was built on infighting and emotional turmoilCNN
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
A massive winter storm will hit large parts of the U.S. through the weekend House Oversight panel votes to hold Bill and Hillary Clinton in contempt of Congress Lindsey Halligan, Trump's former personal attorney, exits Virginia prosecutor's office Global buzzwords that will be buzzing in your ear in 2026 Are ICE agents in Minneapolis breaking the law? Supreme Court doubtful of Trump claim he can fire Fed governors by fiat Sundance prepares for its final Park City festival before moving to Boulder, Colo. Greetings from Kalk Bay, a South African fishing village where wild seals await scraps What to expect from Trump's Davos speech. And, the DOJ subpoenas Minnesota officials Blinken and British counterpart signal trans-Atlantic unity with visit to UkraineThe Atlantic
The Government’s Posts Just Took a Sharp Far-Right Turn America Needs Greenland. No—Iceland. Actually, Never Mind! How to Tell If Your President Is a Dictator Today’s Atlantic Trivia: Looksmaxxer and the Beast A Novel About the Costs of Family Secrets Trump Wants to Be the New Polk America’s Crimea Trump Gives a Stump Speech at Davos The Great Crime Decline Is Happening All Across the Country Why Trump Sides With Putin Trump Can Prosecute Anyone Now The Secret to One of Hollywood’s Most Enduring Friendships MAGA Jesus Is Not the Real Jesus Davos Man May Burn the Whole Thing Down A Surprising Change in Trump’s Behavior The Real Reason for the Drop in Fentanyl Overdoses America’s Would-Be Surgeon General Says to Trust Your ‘Heart Intelligence’ What Iranians Want From Trump Trump’s Attack on Democracy Is Faltering Why So Many Writers Are Athletes Trump’s Golden Age of Culture Seems Pretty Sad So Far The Levers Trump Isn’t Using What Happened to Pam Bondi? Trump Exhaustion Syndrome The Military Is Being Forced to Plan for an Unthinkable BetrayalVox
The week Europe fought back Canada’s prime minister just declared the end of the world as we know it “Trump always chickens out,” briefly explained The Supreme Court is likely to hand Trump a rare loss on the Federal Reserve One weird thing that’s been holding drug trials back An exclusive look inside the largest effort ever mounted to keep the Great Barrier Reef alive Is Trump losing the plot? Trump and Greenland: Latest stories and updates The Supreme Court’s entire framework for Second Amendment cases is coming apart What’s next for Project 2025?Al Jazeera
Does the Awami League have a future in Bangladesh? Barcelona avoid blip in Prague to maintain Champions League top eight hope Liverpool beat Marseille to climb to fourth in Champions League table JPMorgan’s Dimon calls credit card interest rate caps a ‘economic disaster’ US judge bars government from reviewing seized Washington Post materials Can Israel flatten the UNRWA headquarters with impunity? US begins transferring ISIL-linked detainees from Syria to Iraq Palestinians deny reports Israel halted refugee football pitch demolition US House panel advances bill to give Congress authority on AI chip exports At least 3,117 people killed during Iran protests, state media reports Israel demolishes three Palestinian homes in occupied West Bank Ecuador announces 30 percent tariff on Colombia over drug trafficking Public opinion shifts on ICE as advocates warn of US ‘inflection point’ Ancient Khmer temples scarred by Thailand-Cambodia conflict Relieved, sceptical, insulted: Greenlanders react to Trump at Davos US Supreme Court appears reluctant to let Trump fire Fed’s Lisa Cook Trump drops tariff threat, says he won’t use force to take Greenland More Israeli strikes pound southern Lebanon after day of attacks Deadly roof collapse at Russian shopping mall after heavy snowfall Spain’s train drivers call for strike as deadly derailments fuel concern Qatar, Saudi Arabia among nine countries joining Trump’s ‘board of peace’ ‘The end of the world as we know it’: Is the rules-based order finished? Super Saliha Trump rules out using force to take over Greenland, calls for negotiations Marseille vs Liverpool 0-3: UEFA Champions League – as it happenedArs Technica
Judge orders stop to FBI search of devices seized from Washington Post reporter Millions of people imperiled through sign-in links sent by SMS mRNA cancer vaccine shows protection at 5-year follow-up, Moderna and Merck say Trump FCC threatens to enforce equal-time rule on late-night talk shows Why adding modern controls to 1996's Tomb Raider simply doesn't work Kioxia's memory is "sold out" for 2026, prolonging a "high-end and expensive phase" Watch a robot swarm "bloom" like a garden Spotify won court order against Anna’s Archive, taking down .org domain Another Jeff Bezos company has announced plans to develop a megaconstellation Here's Volvo's new EX60 $60,000 electric midsize SUV Has Gemini surpassed ChatGPT? We put the AI models to the test. Zillow removed climate risk scores. This climate expert is restoring them. Wikipedia volunteers spent years cataloging AI tells. Now there's a plugin to avoid them. Webb reveals a planetary nebula with phenomenal clarity, and it is spectacular Zuck stuck on Trump’s bad side: FTC appeals loss in Meta monopoly case Verizon starts requiring 365 days of paid service before it will unlock phones Google temporarily disabled YouTube's advanced captions without warning Flesh-eating flies are eating their way through Mexico, CDC warns Macaque facial gestures are more than just a reflex, study finds Netflix to pay all cash for Warner Bros. to fend off Paramount hostile takeoverSlashdot
Spotify Lawsuit Triggered Anna's Archive Domain Name Suspensions Apple Developing AI Wearable Pin Nova Launcher Gets a New Owner and Ads HAM Radio Operators In Belarus Arrested, Face the Death Penalty Ozempic is Reshaping the Fast Food Industry Half of World's CO2 Emissions Come From Just 32 Fossil Fuel Firms, Study Shows Adobe Acrobat Now Lets You Edit Files Using Prompts, Generate Podcast Summaries The Gold Plating of American Water AI Company Eightfold Sued For Helping Companies Secretly Score Job Seekers Ubisoft Cancels Six Games, Slashes Guidance in Restructuring Ireland Wants To Give Its Cops Spyware, Ability To Crack Encrypted Messages Google Temporarily Disabled YouTube's Advanced Captions Without Warning Japan Restarts World's Largest Nuclear Plant as Fukushima Memories Loom Large Comic-Con Bans AI Art After Artist Pushback YouTube CEO Acknowledges 'AI Slop' Problem, Says Platform Will Curb Low-Quality AI ContentGizmodo
Bring the Existential Horror of Capitalism to Your Shelf With This ‘Squid Game’ Figure Apple Is Reportedly Making Its Own Wearable AI Pin Trump Claims ‘Concept of a Deal’ Reached for Greenland, Says He’ll Cancel New Tariffs Is ‘Masters of the Universe’ Really Going to Do That? JLab JBuds Open Headphones Review: How Open Is Too Open? Washington Is Divided on AI Chip Exports as Anthropic CEO Deems China Sales a ‘Mistake’ ‘It: Welcome to Derry’ Season 2 Is All But Confirmed ‘Pirates of the Caribbean’ Director Has a Theory on Why Visual FX Suck So Much Now You’d Be Surprised How Few Companies Are Behind Half the World’s CO2 Emissions Engineer at Elon Musk’s xAI Departs After Spilling the Beans in Podcast Interview If You’re Not Watching ‘Frieren,’ You’re Missing Out on the Best Fantasy Anime in Ages American Pediatricians Say You’re Thinking Way Too Much About Screen Time Limits Your Takeout Meal Might Be Packing More Salt Than Advertised ‘Fallout’ Just Dropped a Very Intriguing Bombshell It’s Time for Nvidia to Prove It Can Do More Than Graphics Cards for PCs This Adorable Good Boy Just Got Rare, Life-Saving Brain Surgery Netflix Just Made All Your James Bond Dreams Come True Volvo’s EX60 Promises 400-mile Range in a More Competitive EV Climate Chris Pratt’s Sci-Fi Movies, Ranked Nvidia CEO Says the AI Boom Will Lead to More Jobs for PlumbersSmithsonian Magazine
A Stunning Stretch of California's Rugged Coastline Is Now Open to the Public for the First Time in a Century Astronomers Discover a Mysterious Bar-Shaped Cloud of Iron Within the Iconic Ring Nebula These Are the Top Ten Most Anticipated Museums Opening Around the World in 2026 Archaeologists Say They've Detected the Largest Stand-Alone Ancient Roman Villa Ever Unearthed in Wales A Robot Is Unraveling the Secrets of How Some Bats Bounce Sound Waves Off Leaves to Find Insect Prey Three Stunning Ways Biologists Aim to Edit Animal and Plant Genes to Fight Diseases and Extinction This Plant Produces Plump, Fake Berries to Trick Birds Into Spreading Its Offspring Far and Wide A Sprawling Sculpture Garden Featuring Modern Masterpieces Is Coming to the Rijksmuseum in Amsterdam Oscar Wilde's Portraits, Poems, Letters and Manuscripts Head to Auction 125 Years After His Death Hundreds of Ancient Roman Blade Sharpeners Emerge From a Riverbank in England, Revealing the Ruins of a 2,000-Year-Old Whetstone FactoryInfoQ
Presentation: How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data Article Series - AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation Anthropic announces Claude CoWork Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure MIT's Recursive Language Models Improve Performance on Long-Context Tasks Salesforce Migrates 1,000+ EKS Clusters to Karpenter to Improve Scaling Speed and Efficiency Prisma 7: Rust-Free Architecture and Performance Gains Google and Retail Leaders Launch Universal Commerce Protocol to Power Next‑Generation AI Shopping Presentation: No QA Environment? No Problem: How Classpass Enables Testing on a Single Environment in ECS Article: Preventing Data Exfiltration: A Practical Implementation of VPC Service Controls at Enterprise Scale in Google Cloud Platform Podcast: [Video Podcast] AI-Driven Development with Olivia McVicker Microsoft Releases Azure Functions Support for Model Context Protocol Servers GitLab 18.8 Marks General Availability of the Duo Agent Platform Microsoft Open Sources XAML Studio, Reviving a Longstanding Prototyping ToolDynomight
Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourse Moral puzzles: Man vs. machine Please take my weird moral puzzles quiz Futarchy’s fundamental flaw Optimizing tea: An N=4 experiment My advice on (internet) writing, for what it’s worth DumPy: NumPy except it’s OK if you’re dum The Heat Mirage: My least-favorite internet maneuver I don’t like NumPy How to title your blog post or whateverMarginal Revolution
Hey, AI image generators! Sectoral shifts in supply, wartime agriculture edition Wednesday assorted links Measuring Efficiency and Equity Framing in Economics Research Indicate precisely what you mean to say… What happens when dating goes online? Tuesday assorted links The Most Significant Discovery in the History of Biblical Studies Keeping matters in perspective Fear of larger wars in East Africa Is there a British productivity comeback? Monday assorted links Greenland fact of the day Morally judging famous and semi-famous people Podcast with Salvador DuarteNot Boring
16 Lessons on Selling (and Life) from My 5-Year-Old Weekly Dose of Optimism #176 Many Small Steps for Robots, One Giant Leap for Mankind Weekly Dose of Optimism #175 a16z: The Power Brokers welcome to not boring world My 5 Favorite Not Boring Essays of 2025 Weekly Dose of Optimism #174 Weekly Dose of Optimism #173 Hardware is a Fruit Weekly Dose of Optimism #172 Cable Caballero Weekly Dose of Optimism #171 Weekly Dose of Optimism #170 The Company as a Machine for Doing Stuff Weekly Dose of Optimism #169 Weekly Dose of Optimism #168 Take Weird Ideas Seriously Weekly Dose of Optimism #167 Weekly Dose of Optimism #166Coding Horror
The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up? There is no longer any such thing as Computer Security To Serve Man, with SoftwareNASA Breaking News
NASA’s Artemis II Mission to Fly Legacy Keepsakes with Astronaut Crew NASA Invites Media to Crew-10 Visit at Marshall Students Across New England Contribute to Climate Science Through NASA’s GLOBE Green Down NASA’s Universe of Learning Unveils Fresh Facilitator Guides Inspired by Community Feedback NASA Tests Technology Offering Potential Fuel Savings for Commercial Aviation NASA’s Artemis II Rocket and Spacecraft Make Their Way to Launch Pad NASA Webb Finds Young Sun-Like Star Forging, Spewing Common Crystals Fires Erupt in South-Central Chile NASA’s Day of Remembrance Honors Fallen Heroes of Exploration NASA Astronaut Suni Williams RetiresQuanta Magazine
How Animals Build a Sense of Direction Two Twisty Shapes Resolve a Centuries-Old Topology Puzzle Why There’s No Single Best Way To Store Information String Theory Can Now Describe a Universe That Has Dark Energy Cells Use ‘Bioelectricity’ To Coordinate and Make Group DecisionsScience Daily
This new building material pulls carbon out of the air A simple blood test mismatch linked to kidney failure and death The hidden microbes that decide how sourdough tastes Scientists are building viruses from scratch to fight superbugs Life’s chemistry may begin in the cold darkness of space Walking sharks break the rules of reproduction Spacecraft captures the "magnetic avalanche" that triggers giant solar explosions Finally explained: Why kidney disease is so deadly for the heart Scientists identify hidden protein interaction driving Parkinson’s disease Scientists solve a major roadblock holding back cancer cell therapy Scientists discover why some wounds refuse to heal A global DNA study reveals a hidden threat in diabetic foot infections Stanford scientists found a way to regrow cartilage and stop arthritis Unbreakable? Researchers warn quantum computers have serious security flaws Patients tried everything for depression then this implant changed their lives A common painkiller may be quietly changing cancer risk A faint signal from the Universe’s dark ages could reveal dark matter James Webb catches an exoplanet losing its atmosphere in real time The human brain may work more like AI than anyone expected Tiny doses of THC show big benefits for HIV treatment The world’s mountains are warming faster than anyone expected Your brain does something surprising when you don’t sleep A wobbling black hole jet is stripping a galaxy of star-forming gas NASA’s Artemis II reaches the launch pad and the countdown to the Moon begins Inside the mysterious collapse of dark matter halos A “dormant” brain protein turns out to be a powerful switch This tiny power module could change how the world uses energy The overlooked survival strategy that made us human A 250-million-year-old fossil reveals the origins of mammal hearing How the frog meat trade helped spread a deadly fungus worldwide Major review finds no autism or ADHD risk from pregnancy Tylenol Scientists trace fertilizer microplastics from fields to beaches New research shows emotional expressions work differently in autism Cannabis was touted for nerve pain. The evidence falls short The real danger of Tylenol has nothing to do with autism Silver just solved a major solid-state battery problem Scientists sent viruses to space and they evolved in surprising ways The Ring Nebula is hiding a giant structure made of iron Tiny earthquakes are revealing a dangerous secret beneath California How scientists are turning thyme into precision medicine AI maps the hidden forces shaping cancer survival worldwide A routine eye treatment is raising new concerns for glaucoma patients Scientists found hidden synapse hotspots in the teen brain NASA brings Crew-11 home early in rare medical evacuation How cancer disrupts the brain and triggers anxiety and insomnia Scientists find ‘master regulator’ that could reverse brain aging A once-in-a-generation discovery is transforming dairy farming A 47-year study reveals when fitness and strength start to fade Microplastics are undermining the ocean’s power to absorb carbon Engineers just created a “phonon laser” that could shrink your next smartphone An endocrinologist tried a new weight loss approach and it worked Scientists are rethinking bamboo as a powerful new superfood Researchers found a tipping point for video gaming and health The breakthrough that makes robot faces feel less creepy Scientists found the soil secret that doubles forest regrowth Stretchable OLED displays take a big leap forward Fewer offspring, longer life: The hidden rule of mammal aging Statins may help almost everyone with type 2 diabetes live longer One protein may decide whether brain chemistry heals or harms Vitamin A may be helping cancer hide from the immune systemSpaceflight Now
Live coverage: SpaceX to launch first West Coast Starlink mission of 2026 SpaceX launches Sunday sunset Starlink mission from Cape Canaveral NRO, SpaceX launch reconnaissance satellites from Vandenberg Crew 11 safely splashes down after shortened mission NASA, SpaceX conduct ‘medical evacuation’ Crew-11 return to Earth SpaceX breaks pad turnaround record at Cape Canaveral with midday Starlink launch U.S. Space Force switches rockets for upcoming GPS satellite launch ISS gains new commander as Crew-11 prepares midweek departure SpaceX launches 29 Starlink satellites on Falcon 9 rocket from Cape Canaveral India’s PSLV suffers second consecutive launch failure, 16 satellites lostSpace Daily
Elon Musk hints at buying Ryanair amid Starlink spat NASA astronaut stuck in space for nine months retires Stratolaunch secures major funding to scale hypersonic flight services Major equity deal backs Gilmour Space expansion of sovereign launch capability Lunar impacts limit late delivery of Earth ocean water ExLabs and ChibaTech team up to land student CubeLanders on asteroid Apophis Polar weather on Jupiter and Saturn hints at the planets' interior details Birth conditions fixed water contrast on Jupiters moons Europa ice delamination may deliver nutrients to hidden ocean Study links Europa's quiet seafloor to hidden potential for life Quantum collapse models point to subtle limits in timekeeping accuracy Cosmic dust chemistry forges peptide building blocks in deep space Hidden magma oceans could shield rocky exoplanets from harmful radiation Mercury and Earth chorus waves show shared plasma behavior across magnetospheres Primordial magnetism offers fresh angle on the Hubble constant puzzleSpace News
Blue Origin plans bespoke high-speed Starlink rival The Exploration Company in talks to acquire Orbex Starfish Space wins SDA contract to deorbit satellites Accelerating digital transformation is the keystone to deterring space war U.S. vulnerable to Russian escalation in space, new report warns NASA to end support for planetary science groups Defense appropriations bill for 2026 funds Space Force at $26 billion, presses Pentagon on Golden Dome Space Foundation to Host Innovate Space: Finance Forum in Partnership With Texas Space Commission Commercial Space Federation (CSF) Welcomes 3 New Associate Members Free warnings, better catalogs: the real fix for space safety Washington Harbour expands space investments with ground services acquisition Sodern to produce star trackers in Colorado Gilmour Space raises $146 million Damaged DSN antenna out of service until May NASA must act now to ensure U.S. leadership in space Space Force ends ‘Resilient GPS’ satellite program Eutelsat signs OneWeb launch deal with MaiaSpace SLS/Orion rolls to pad for Artemis 2 White House resubmits NASA deputy administrator nominee China hit by dual launch failures as Long March 3B and Ceres-2 debut mission fail Indra Group writes off damaged SpainSat NG 2 Isar Aerospace sets date for second Spectrum launch China conducts static fire test of new reusable Long March 12B rocket AO-Resistant Material Boosts VLEO Satellite LongevityMartin Fowler
Conversation: LLMs and the what/how loop Stop Picking Sides: Manage the Tension Between Adaptation and Optimization My favorite musical discoveries of 2025 Fragments: January 8 Fragments: December 16 Writing Fragments Fragments Dec 11 Fragments Dec 4 Fragments Nov 19 My Foreword to "Frictionless" The Learning Loop and LLMs Fragments Nov 3 Agentic AI and Security Fragments and Links Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl Anchoring AI to a reference application To vibe or not to vibe Some thoughts on LLMs and Software Development From Black Box to Blueprint Research, Review, Rebuild: Intelligent Modernisation with MCP and Strategic Prompting Building your own CLI Coding Agent with Pydantic-AI Chatting with Unmesh about building language with LLMs Bliki: Expansion Joints Team OKRs in Action Impact Intelligence, addressing common objections Quick but worthwhile links Actions to improve impact intelligence The Reformist CTO’s Guide to Impact Intelligence How far can we push AI autonomy in code generation? Partner with the AI, throw away the codeEmbedded Artistry
What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New Device The Simple Fixes on the Quest for Improved Performance Schrödinger’s Meeting Building a Simplified CLI Using Invoke (for Monorepo Management) Replacing find Shell Commands with Python Q&A: What Pieces of the OTA Update Pipeline Should You Front Load? Q&A: How Do You Manage Updates that Introduce Incompatible Changes? Q&A: Where Should Firmware Update Capabilities Live? Dealing With Duplicated Files in a Monorepo Over-the-Air Updates and Fleet Management at Scale Configuring a Linker Script for Accurate Linker Memory Usage ReportingAttack Magazine
Akai Launches New Flagship MPC – The MPC XL Manifest Audio Unleash Free Synth: Tactum Catch Kobosil, Shlømo, Klofama & more At Sound Waves Winter Edition Next Month The Future Starts Here: Visiting Roland’s Radical New Headquarters Manifest Audio Unleash Major Update: New Devices, V2 Overhauls & Future-Forward Bundle The Best Gear of the Year Versatile 80s Synth Keys Time’s Running Out To Get Eventide’s Temperance Lite Plugin For Free Istanbul Ghetto Club Vocana – A New Steaming Service Challenging SpotifyDJ 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