nx1.info | News
Last updated: 18/02/2026 00:35:47Google News
Jesse Jackson, a leading voice for civil rights, dies at 84 - The Washington Post Colbert Says CBS Pulled Senate Candidate Interview - The New York Times Rescue underway for missing skiers after avalanche in Castle Peak area in Sierra Nevada, California, sheriff's office says - ABC7 San Francisco Federal judge rules Kilmar Abrego Garcia can’t be re-detained by immigration authorities - AP News Fulton County accuses Justice Department of misleading the judge who approved elections office search warrant - CNN Hegseth Is Said to Have Ordered Pentagon Spokesman’s Firing - The New York Times As Bernie Sanders Comes to California, Wealth Tax Opponents Intensify Efforts - The New York Times Democrats send counteroffer on ICE reforms to Republicans as DHS shutdown continues - CBS News S.F. Bay Area pounded by storms, hail, snow. Here’s when the worst will end - San Francisco Chronicle DHS spokeswoman who became a face of Trump deportation campaign steps down - The Washington Post U.S. releases new details on alleged secret Chinese nuclear test - NPR Cabinet secretary frontrunner faced multiple bullying complaints - BBC India has long promised 'vibrant' border villages, as China speedily builds up - NPR Peru’s leader José Jerí ousted over ‘Chifa-gate’ scandal, as presidential ‘curse’ strikes again - CNN Can Nvidia’s stock approach $400? Here’s why earnings may mark the start of a big rally. - MarketWatch Amazon pulls the plug on 'Blue Jay' warehouse robot after only a few months - Business Insider Salmon sold at BJ's recalled for potential listeria contamination - NBC News Quantum Computing Stocks: Infleqtion Pops In First Day As Public Company - Investor's Business Daily YouTube adds new hurdles for ad blockers, and there's currently no way around it - Android Authority Google teases I/O 2026 with ‘Make Build Unlock’ puzzle - 9to5Google 'Can You Use Labo VR Goggles For Virtual Boy Games On Switch?' & Other Nintendo Classics VB Questions Answered - Nintendo Life An Update on Recent Exploits and Corrective Actions - ARC Raiders Miley Cyrus to Return for ‘Hannah Montana 20th Anniversary Special,’ March Release Set on Disney+ - Variety Writers Guild West’s Own Staff Calls a Strike Against the Union - The Hollywood Reporter The Women of 'KPop Demon Hunters' on Overcoming Rejection, 'Golden's' Success - Variety Addison Rae's Father Arrested for Exposing Himself - TMZ Norway's Tormod Frostad captures Olympic freeski big air gold - ESPN MLBPA leader Tony Clark to resign after revelation of inappropriate relationship: Sources - The Athletic - The New York Times 2026 NFL franchise tag primer: Candidates to watch while window is open - NFL.com Italy pulls off a stunner in Olympic men's speedskating team pursuit, earns first gold since 2006 - AP News ISS Welcomes Four New Astronauts, Strengthening Crew for Key Scientific Missions - The Daily Galaxy New species of ancient crocodile named in honor of Welsh school teacher - Phys.org Antarctica sits above Earth's strongest 'gravity hole.' Now we know how it got that way - Phys.org Astronomers observe a star that quietly transformed into a black hole - KSL News Colorectal Cancer Is Rising in Young People. Here's How to Lower Your Risk. - ScienceAlert Can You Get Measles if You’re Vaccinated? And Everything Else You Need to Know About the Disease’s Terrifying Resurgence. - Slate Cardiologists Share 6 Surprising Lifestyle Habits That Boost Heart Health - AOL.com NIAID staffers ordered to remove biodefense, pandemic preparedness language on website - CIDRAPBBC News
Police assessing Stansted Airport private flights over Epstein ties Cabinet secretary frontrunner faced multiple bullying complaints How Jesse Jackson paved way for Barack Obama - and helped change US 'The search is soul-destroying': Young jobseekers on the struggle to find work GB curlers on brink of early exit after Canada defeat Dual nationals face scramble for British passports as new rules come into force Ros Atkins on...unanswered Andrew questions Tories call for rethink of Parliament revamp Shein under EU investigation over childlike sex dolls Real Madrid tie halted over Vinicius racism allegation Nine arrested in France over death of far-right student Teacher who lied about Cambridge degree banned The 61-year-old Glaswegian whose ice rink moonwalk went viral Lindsey Vonn 'yet to stand' but returns home to US USA's Meyers Taylor, 41, becomes oldest individual Olympic champion at a Winter Games Nine medals up for grabs - Wednesday's guide The fallout from Labour's local elections U-turn is not over yet Jesse Jackson: A life in pictures The man whose bad break-up gave Madonna her breakthrough hit Like A Virgin Adoption breakdown ended my career and relationship – we're told to get on with it Viral face depuffing tricks - skin experts reveal if they work How Reddit's human touch is fighting back against AI 'slop' Why are some students claiming Covid compensation from universities? How dark web agent spotted bedroom wall clue to rescue girl from years of harm Reform names Robert Jenrick as pick for chancellor Cold health alert issued as temperatures fall across the UK Iran says 'guiding principles' agreed with US at nuclear talks Patients describe 'culture of abuse' as 15 hospital staff arrested Ex-Mail reporter denies making payments for Lawrence information Singer and YouTuber who makes music with Furbys and Game Boys picked for UK at Eurovision BBC News app Is There A Gen Z Jobs Crisis? Will the US Supreme Court stand up to Trump? Real Madrid tie halted over Vinicius racism allegation GB curlers on brink of early exit after Canada defeat 'A lightning rod for excitement' - Pollock starts in England reshuffle Russia & Belarusian athletes to compete under own flags at Winter Paralympics 'Absolutely stunning!' Norway's Frostad wins 'best big air final of all-time'Financial Times (World)
Iran says ‘understanding’ reached with US to guide nuclear talks Reform UK pledges to keep fiscal watchdog if it wins power Trump escalates assault on US consumer protection agency Behold, the story of the Fed balance sheet in a single chart Berkshire Hathaway energy unit sells power assets in rare disposal FirstFT: India and France near $35bn fighter jet deal CBS turmoil deepens as Cooper quits and Colbert defies lawyers SEC urged to investigate Apollo over Epstein ties Nvidia secures multibillion-dollar Meta deal as it battles chip rivals Peruvian Congress removes interim president José Jerí Warner Bros throws ownership battle open by giving Paramount a week to up its offer US charges two ex-executives at private equity-owned group with fraud Macron meets Modi in India as blockbuster fighter jet deal nears A new era of US antitrust-lite leaves investors little better off Labour’s own goals on jobs Mexico’s school textbook author refuses to leave desk 4 days after sacking Russia is using monuments to peddle misinformation Have we hit peak dollar bearishness? Reform UK names Jenrick as ‘shadow chancellor’ Danaher strikes $10bn deal for medical device maker Masimo German population set to shrink 5% by 2050 Submit your questions: How should you navigate global economic risks this year? Former prince Andrew agreed to help strike $8bn cash-for-oil deal between UAE and China UK unemployment hits post-pandemic peak as wage growth cools Thomas Pritzker steps down as Hyatt executive chair over Epstein tiesFinancial Times (UK)
Reform UK pledges to keep fiscal watchdog if it wins power Labour’s own goals on jobs Reform UK names Jenrick as ‘shadow chancellor’ Former prince Andrew agreed to help strike $8bn cash-for-oil deal between UAE and China UK unemployment hits post-pandemic peak as wage growth cools Who’s who in Reform UK’s top team Global regulators fret about banks’ rising use of credit risk transfers The limits of age-based policymaking UK private sector pay growth close to target levels in December Perhaps we should all be banned from social media Can Reeves solve the Bank of England’s inflation problem? UK quietly shelves £110mn frictionless post-Brexit trade border project Starmer cancels plans to delay 30 local council elections in England Starmer says Britain needs to ‘go faster’ on defence spending Rosebank Industries vows to keep London listing as it explores $3bn in US deals Ed Miliband strikes clean energy deal with California’s Gavin Newsom UK proposes audit changes to attract Chinese listings Carillion’s ex-CEO drops challenge to his fine for misleading investors Cabinet Office to probe think-tank’s investigation into journalists The best exhibitions to see in London this weekend Inflation and interest rates tracker: see how your country compares In a time of war, UK must not starve the BBC Boardroom pay deserves a rethink UK overseas aid cuts to outstrip those of Trump administration Student loans show that hard policy choices will only get harderThe New York Times
Chatbots Are the New Influencers Brands Must Woo With Niche Tech World References, Vibe Hopes Its Billboards Reach Start-Up Insiders Their Secret to a Happy Marriage? A Translation App Homeland Security Demands Social Media Sites Reveal Names Behind Anti-ICE Posts User Issues With X Appear to Have Resolved Could an Electronic Coach Help Ski Jumpers Leap Farther? More Than Ever, Videos Expose the Truth. And Cloud It, Too. Ring Ends Deal to Link Neighborhood Cameras After Backlash to Super Bowl Ad David J. Farber, ‘Grandfather of the Internet,’ Dies at 91 F.T.C. Chair Warns Apple Against Bias in Apple News ‘Something Big Is Happening’ + A.I. Rocks the Romance Novel Industry + One Good Thing Meta Plans to Add Facial Recognition Technology to Its Smart Glasses Iran Turns to Digital Surveillance Tools to Track Down Protesters Anthropic Is Valued at $380 Billion in New Funding Round Why Tech Giants Are Accused of Causing Social Media Addiction Gail Slater Leaves Role as Justice Dept.’s Antitrust Chief Anthropic Donates $20 Million to Super PAC Operation to Counter OpenAI Ford Will Make a Play for a Different Battery Market Laid-Off Battery Plant Workers Pin Blame on Ford, not Trump, for Lost Jobs Instagram Chief Says Social Media Is Not ‘Clinically Addictive’ in Landmark Trial OpenAI’s Biggest Challenge Is Turning Its A.I. Into a Cash Machine Elon Musk Wants to Build an A.I. Satellite Factory on the MoonThe Guardian
Kenyan authorities used Israeli tech to crack activist’s phone, report claims How an undercover cop foiled an IS plot to massacre Britain’s Jews – podcast Assailants kill at least 32 in north-west Nigerian villages, residents say 53 people dead or missing after migrant boat capsizes in Mediterranean Ebo Taylor, Ghanaian highlife pioneer and guitarist, dies age 90 US says 11 people killed in latest strikes on alleged drug boats Peru’s president ousted in ‘express impeachment’ after just four months Mexican president challenges UK asylum given to woman accused of corruption Disappearances in Mexico surge by 200% over 10 years ‘People want to help’: Canadians rally round Tumbler Ridge after school shooting Chinese tourists shun Japan over lunar new year holiday as rift deepens ‘I just want to stop hearing about it’: a weary South Korea awaits verdict on Yoon insurrection charges Kim Jong-un unveils housing for families of North Koreans killed in Ukraine war China hopes for a bumper lunar new year as world’s biggest migration begins New Zealand officials warn more flooding could hit north island as man killed after heavy rain News live: Canavan says Hanson ‘not fit to lead’ a major party after inflammatory comments about Muslim Australians Man charged with murder after Merrylands stabbing spree had allegedly absconded from hospital Role of far-right manosphere in homophobic attacks on men to be investigated in Victoria Building 1.2m homes will barely put a dent in Australia’s housing affordability, one expert says. Here’s why Will Tony Abbott return to frontline politics? The Liberal party’s most polarising figure can imagine a way Marco Rubio’s warm words to Viktor Orbán reinforce EU fears that US seeks disunity in Europe France releases suspected Russian shadow fleet tanker after huge fine, as Ukraine peace talks begin – as it happened A binge and a prayer: Italian monks told to avoid Netflix and social media ‘An insult to our name’: AfD urged to stop using Simson mopeds at events UK shelves £110m frictionless post-Brexit trade border project Oscar-nominated co-writer of It Was Just an Accident released from Iranian prison Javier Bardem and Tilda Swinton among those to condemn Berlinale’s ‘silence’ on Gaza Iran-US talks: agreement reached on ‘guiding principles’ after ‘constructive’ meeting, Tehran says Medics in UK and US say they have been barred from Gaza after speaking out The patience and the poker face: Iran’s wily diplomat set to face the US in nuclear talks Tarique Rahman sworn in as Bangladeshi prime minister ‘I feel like a ghost’: new father deported by ICE to Bhutan that exiled his family Bangladesh election: BNP wins historic first vote since overthrow of Hasina ‘Invisible’ children born in the brothels of Bangladesh finally get birth certificates Tarique Rahman promises era of clean politics as Bangladesh holds first election since fall of Hasina Nigel Farage unveils Reform UK frontbench team and warns over dissent Brazilian butt lifts should be banned in UK amid ‘wild west’ industry, MPs say One in nine new homes in England built in areas of flood risk, study shows UK shoppers warned over spread of harmful and illegal skin lightening kits Training more Britons may not cut net migration or plug skills shortages, study finds Shia LaBeouf arrested on battery charges in New Orleans during Mardi Gras US judge blocks deportation of Palestinian activist Mohsen Mahdawi Winter storm brings ‘very heavy’ snow and more rain to California Colbert accuses Trump administration of censorship after CBS pulls interview Obama, Trump and Biden lead tributes to Jesse Jackson: ‘one of America’s greatest patriots’Hacker News
Run LLMs locally in Flutter with <200ms latency 'My Words Are Like an Uncontrollable Dog': On Life with Nonfluent Aphasia pg_background: Make Postgres do the long work (while your session stays light) I swear the UFO is coming any minute Structured AI (YC F25) Is Hiring BarraCUDA Open-source CUDA compiler targeting AMD GPUs Show HN: I'm launching a LPFM radio station Show HN: AsteroidOS 2.0 – Nobody asked, we shipped anyway Show HN: Pg-typesafe – Strongly typed queries for PostgreSQL and TypeScript Claude Sonnet 4.6 Discord Rival Gets Overwhelmed by Exodus of Players Fleeing Age-Verification Climbing Mount Fuji visualized through milestone stamps Gentoo on Codeberg Chess engines do weird stuff Thank HN: You helped save 33k lives Launch HN: Sonarly (YC W26) – AI agent to triage and fix your production alerts Trata (YC W25) Is Hiring Founding Engineers (NYC) So you want to build a tunnel Async/Await on the GPU HackMyClawArxiv astro-ph.HE
Constraining Binary Neutron Star Populations using Short Gamma-Ray Burst Observations LHAASO observation of Mrk 421 during 2021 March - 2024 March: a comprehensive VHE catalog of multi-timescale outbursts and its time average behavior Searching for Neutron Star Mergers in the Absence of Gravitational Waves with Optical Afterglow Emission Superorbital Phase Evolution and a Soft-Hard X-ray Phase Shift in LMC X-4 Pulsars and Millisecond Pulsars III: Tracing Compact Object Dynamics in Globular Clusters with NBODY6++GPU Detection of Cyclotron Absorption in the Radio Emission of GPM 1839-10 Dust and Ices in the SNR Dynamical Preconditions for Ice Formation in Supernova Remnant and Cloud Interactions: A 2D MHD Study Estimatingthe Contribution of Galactic Neutrino Sources Pulsar Timing Array in the past decade Kinematic Evidence for Open Cluster Origins of Galactic Binary Neutron Stars High Energy Emission from the Galactic Center Nonlinear diffusive shock acceleration with upstream escape reproduces DAMPE observations Tracing Fe K X-ray reverberation lag in the energy-resolved spectra of Narrow-line Seyfert 1 galaxy Ton S180 PeV neutrons as origin of separated SS433 TeV signals Production of Jets before Neutron Star Mergers Estimation of neutron star mass and radius of FRB 20240114A by identification of crustal oscillations The Physical Properties of PS1-12sk and the Implications to Its Progenitor System Circular orbits and observational features of the rotating Simpson-Visser black hole surrounded by a thin accretion disk Human versus Artificial Intelligence; various significant examples in astrophysics H.E.S.S. detection of the PSR J0855-4644 nebula 4U 1556-60 as a very faint neutron star X-ray binary at 700 pc with an undetected radio jet Bounds on Lorentz invariance violation from muon fluctuations at the Pierre Auger Observatory Pulsar based modeling of point spread function of Fermi Large Area Telescope A universal critical accretion rate for black hole jet formation Exploring the magnetic field of the ultraluminous X-ray pulsar NGC 4631 X-8 Modeling isolated magnetar spin-down evolution and implications for long-period radio transients Harmonic Analysis on Correlation for Gravitational-Wave Backgrounds of Arbitrary Polarization from Interfering Sources in Generic Dispersion Relation Modelling the Break in the Specific Angular Momentum within the Envelope-Disk Transition Zone Quarkyonic matter and hadron-quark crossover from an ultracold atom perspective On the Cuspy Structure of Rotating Wormhole Shadows Measuring neutrino mixing above 1 TeV with astrophysical neutrinos Local Short-Time Acceleration and deSitter Spacetime induced Extra Spectral Broadening: a Simple Interpretation of Modified Inertial in MOND Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimization Investigating the impact of quasi-universal relations on neutron star constraints in third-generation detectors Gauge-independent gravitational waves from a minimal dark $U(1)$ sector with viable dark matter candidates The radial velocity curve for HeII emission cannot be used for component mass determination in SS433 Stringent Tests of Lorentz Invariance Violation from LHAASO Observations of GRB 221009A Detecting prompt and afterglow jet emission of gravitational wave events from LIGO/Virgo/KAGRA and next generation detectors Compression fronts from fast radio bursts Gamma-Ray Millisecond Pulsars: Off-pulse Emission Characteristics, Phase-Resolved Pseudo-Luminosity--Cutoff Energy Correlation, and High-energy Pulsed Emission The spin-orbit alignment hypothesis in millisecond pulsars Impact of thermal effects on prompt-collapse binary neutron star mergers Hypothesis of a bi-isotropic-like plasma permeating the interstellar space Reassessing the Spin of Second-born Black Holes in Coalescing Binary Black Holes and Its Connection to the chi_eff-q Correlation DIPLODOCUS II: Implementation of transport equations and test cases relevant to micro-scale physics of jetted astrophysical sources Gravitational-Wave Constraints on Neutron-Star Pressure Anisotropy via Universal Relations Beyond the Simple Power Law: A Bayesian Analysis of 897 Pulsar Spectra Frequency- and phase-resolved polarimetry of millisecond pulsars and its application to timing Globular Clusters GMRT Pulsar Search (GCGPS) II: Discovery of five MSPs in M69 and M70 Cygnus~X-3 as a PeVatron and the LHAASO 2025 data Probabilistic modeling of Cherenkov emission from particle showers Dense gas linked to star-forming regions photoionised by embedded gamma-ray bursts Constraining Black Hole Parameters from Shadow and Inner-Shadow Morphology Considering Effects from Thick Disk Accretion Flows Searching for dark matter signals with high energy astrophysical neutrinos in IceCube Fate of false vacuum in non-perturbative regimes: Gravity effects Dynamics of powerful radio galaxies Hydrodynamics of Relativistic Superheated Bubbles A relativistic treatment of accretion disk torques on extreme mass-ratio inspirals around non-spinning black holes Kinematic Anisotropies in PTA Observations: Analytical ToolkitArxiv cs.LG
Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric Accelerated Discovery of Cryoprotectant Cocktails via Multi-Objective Bayesian Optimization Why is Normalization Preferred? A Worst-Case Complexity Theory for Stochastically Preconditioned SGD under Heavy-Tailed Noise High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator Text Has Curvature Comparing Classifiers: A Case Study Using PyCM Finding Highly Interpretable Prompt-Specific Circuits in Language Models Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers $\gamma$-weakly $\theta$-up-concavity: Linearizable Non-Convex Optimization with Applications to DR-Submodular and OSS Functions Singular Vectors of Attention Heads Align with Features QuaRK: A Quantum Reservoir Kernel for Time Series Learning Fast Swap-Based Element Selection for Multiplication-Free Dimension Reduction Out-of-Support Generalisation via Weight Space Sequence Modelling Scenario-Adaptive MU-MIMO OFDM Semantic Communication With Asymmetric Neural Network Interpretable clustering via optimal multiway-split decision trees Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? Optimization-Free Graph Embedding via Distributional Kernel for Community Detection Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series Cumulative Utility Parity for Fair Federated Learning under Intermittent Client Participation Zero-Order Optimization for LLM Fine-Tuning via Learnable Direction Sampling Optimized Certainty Equivalent Risk-Controlling Prediction Sets ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer Advancing Analytic Class-Incremental Learning through Vision-Language Calibration On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling Physics Aware Neural Networks: Denoising for Magnetic Navigation Attention Head Entropy of LLMs Predicts Answer Correctness Optimal Regret for Policy Optimization in Contextual Bandits Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models Data-driven Bi-level Optimization of Thermal Power Systems with embedded Artificial Neural Networks Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition On Representation Redundancy in Large-Scale Instruction Tuning Data Selection MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference Testing For Distribution Shifts with Conditional Conformal Test Martingales sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization Why Code, Why Now: Learnability, Computability, and the Real Limits of Machine Learning A Multi-Agent Framework for Code-Guided, Modular, and Verifiable Automated Machine Learning An Adaptive Model Selection Framework for Demand Forecasting under Horizon-Induced Degradation to Support Business Strategy and Operations You Can Learn Tokenization End-to-End with Reinforcement Learning Experiential Reinforcement Learning QuRL: Efficient Reinforcement Learning with Quantized Rollout Chemical Language Models for Natural Products: A State-Space Model Approach Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds KoopGen: Koopman Generator Networks for Representing and Predicting Dynamical Systems with Continuous Spectra S2SServiceBench: A Multimodal Benchmark for Last-Mile S2S Climate Services EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers Decentralized Federated Learning With Energy Harvesting Devices Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning Neural Optimal Transport in Hilbert Spaces: Characterizing Spurious Solutions and Gaussian Smoothing Geometry-Aware Physics-Informed PointNets for Modeling Flows Across Porous Structures Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines? ROAST: Rollout-based On-distribution Activation Steering Technique A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers Synergistic Intra- and Cross-Layer Regularization Losses for MoE Expert Specialization When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM Robust multi-task boosting using clustering and local ensembling Evaluating LLMs in Finance Requires Explicit Bias Consideration Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization Integrating Unstructured Text into Causal Inference: Empirical Evidence from Real Data Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning Machine Learning as a Tool (MLAT): A Framework for Integrating Statistical ML Models as Callable Tools within LLM Agent Workflows DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes Conformal Signal Temporal Logic for Robust Reinforcement Learning Control: A Case Study Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning Zero-Shot Instruction Following in RL via Structured LTL Representations WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations Broken Chains: The Cost of Incomplete Reasoning in LLMs Selective Synchronization Attention WiSparse: Boosting LLM Inference Efficiency with Weight-Aware Mixed Activation Sparsity Traceable Latent Variable Discovery Based on Multi-Agent Collaboration Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment LACONIC: Length-Aware Constrained Reinforcement Learning for LLM One Good Source is All You Need: Near-Optimal Regret for Bandits under Heterogeneous Noise Revisiting the Platonic Representation Hypothesis: An Aristotelian View Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts Divine Benevolence is an $x^2$: GLUs scale asymptotically faster than MLPs Covariance-Aware Transformers for Quadratic Programming and Decision Making DeepMTL2R: A Library for Deep Multi-task Learning to Rank Truly Adapting to Adversarial Constraints in Constrained MABs Governing AI Forgetting: Auditing for Machine Unlearning Compliance Fluid-Agent Reinforcement Learning DCTracks: An Open Dataset for Machine Learning-Based Drift Chamber Track Reconstruction RNM-TD3: N:M Semi-structured Sparse Reinforcement Learning From Scratch Replicable Constrained Bandits Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow OPBench: A Graph Benchmark to Combat the Opioid Crisis Concepts' Information Bottleneck Models Alignment Adapter to Improve the Performance of Compressed Deep Learning Models An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale Pseudo-differential-enhanced physics-informed neural networks Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't) Unbiased Approximate Vector-Jacobian Products for Efficient Backpropagation D2-LoRA: A Synergistic Approach to Differential and Directional Low-Rank Adaptation Scale redundancy and soft gauge fixing in positively homogeneous neural networks Parameter-Minimal Neural DE Solvers via Horner Polynomials Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training Universal Algorithm-Implicit Learning Learning Structural Hardness for Combinatorial Auctions: Instance-Dependent Algorithm Selection via Graph Neural Networks On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials Extending Multi-Source Bayesian Optimization With Causality Principles Learning State-Tracking from Code Using Linear RNNs Interactionless Inverse Reinforcement Learning: A Data-Centric Framework for Durable Alignment Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows BEACONS: Bounded-Error, Algebraically-Composable Neural Solvers for Partial Differential Equations A Pragmatic Method for Comparing Clusterings with Overlaps and Outliers Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning On the Learning Dynamics of RLVR at the Edge of Competence Web-Scale Multimodal Summarization using CLIP-Based Semantic Alignment Algorithmic Simplification of Neural Networks with Mosaic-of-Motifs Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems Coverage Guarantees for Pseudo-Calibrated Conformal Prediction under Distribution Shift Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs Variance-Reduced $(\varepsilon,\delta)-$Unlearning using Forget Set Gradients Locally Adaptive Multi-Objective Learning Use What You Know: Causal Foundation Models with Partial Graphs MacroGuide: Topological Guidance for Macrocycle Generation Orthogonalized Multimodal Contrastive Learning with Asymmetric Masking for Structured Representations Spectral Convolution on Orbifolds for Geometric Deep Learning Boundary Point Jailbreaking of Black-Box LLMs PDE foundation models are skillful AI weather emulators for the Martian atmosphere Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees Scaling Beyond Masked Diffusion Language Models Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization Symmetry in language statistics shapes the geometry of model representations Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning Intelligence as Trajectory-Dominant Pareto Optimization An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning Boltz is a Strong Baseline for Atom-level Representation Learning Expected Moral Shortfall for Ethical Competence in Decision-making Models Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets MFN Decomposition and Related Metrics for High-Resolution Range Profiles Generative Models Conditional Generative Models for High-Resolution Range Profiles: Capturing Geometry-Driven Trends in a Large-Scale Maritime Dataset Spectral Collapse in Diffusion Inversion Fine-Tuning a Large Vision-Language Model for Artwork's Scoring and Critique DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing Detecting Jailbreak Attempts in Clinical Training LLMs Through Automated Linguistic Feature Extraction Diagnostic Benchmarks for Invariant Learning Dynamics: Empirical Validation of the Eidos Architecture Graph neural networks uncover structure and functions underlying the activity of simulated neural assemblies Ask the Expert: Collaborative Inference for Vision Transformers with Near-Edge Accelerators Nonparametric Distribution Regression Re-calibration MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents LAF-YOLOv10 with Partial Convolution Backbone, Attention-Guided Feature Pyramid, Auxiliary P2 Head, and Wise-IoU Loss for Small Object Detection in Drone Aerial Imagery Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents FUTON: Fourier Tensor Network for Implicit Neural Representations Protect$^*$: Steerable Retrosynthesis through Neuro-Symbolic State Encoding Language Model Memory and Memory Models for Language AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge Stochastic variance reduced extragradient methods for solving hierarchical variational inequalities Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning On Calibration of Large Language Models: From Response To Capability LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News Differentiable Rule Induction from Raw Sequence Inputs Towards Sparse Video Understanding and Reasoning Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving Locally Private Parametric Methods for Change-Point Detection LEAD-Drift: Real-time and Explainable Intent Drift Detection by Learning a Data-Driven Risk Score No Need to Train Your RDB Foundation Model Fine-tuned Vision Language Model for Localization of Parasitic Eggs in Microscopic Images NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning Attention in Constant Time: Vashista Sparse Attention for Long-Context Decoding with Exponential Guarantees A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization VAR-3D: View-aware Auto-Regressive Model for Text-to-3D Generation via a 3D Tokenizer Causally constrained reduced-order neural models of complex turbulent dynamical systems Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay Ensemble-Conditional Gaussian Processes (Ens-CGP): Representation, Geometry, and Inference Ambient Physics: Training Neural PDE Solvers with Partial Observations Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification RPGD: RANSAC-P3P Gradient Descent for Extrinsic Calibration in 3D Human Pose Estimation Quantifying Normality: Convergence Rate to Gaussian Limit for Stochastic Approximation and Unadjusted OU Algorithm voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models MamaDino: A Hybrid Vision Model for Breast Cancer 3-Year Risk Prediction Statistical Early Stopping for Reasoning Models A Theoretical Framework for LLM Fine-tuning Using Early Stopping for Non-random Initialization Cognitive Chunking for Soft Prompts: Accelerating Compressor Learning via Block-wise Causal Masking Named Entity Recognition for Payment Data Using NLP Computable Bernstein Certificates for Cross-Fitted Clipped Covariance Estimation Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages Choosing How to Remember: Adaptive Memory Structures for LLM Agents Geometry-Preserving Aggregation for Mixture-of-Experts Embedding Models GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training Algebraic Quantum Intelligence: A New Framework for Reproducible Machine Creativity DenseMLLM: Standard Multimodal LLMs are Intrinsic Dense Predictors When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance Investigation for Relative Voice Impression Estimation Learning Part-Aware Dense 3D Feature Field for Generalizable Articulated Object Manipulation CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Federated Ensemble Learning with Progressive Model Personalization Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems GRAIL: Goal Recognition Alignment through Imitation Learning AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts Fast Compute for ML Optimization MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking FMMD: A multimodal open peer review dataset based on F1000Research Floe: Federated Specialization for Real-Time LLM-SLM Inference Benchmarking at the Edge of Comprehension Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping Coalitions High-accuracy log-concave sampling with stochastic queries High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem LRD-MPC: Efficient MPC Inference through Low-rank Decomposition Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Traces CAIRO: Decoupling Order from Scale in Regression Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5 Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors Learning Transferability: A Two-Stage Reinforcement Learning Approach for Enhancing Quadruped Robots' Performance in U-Shaped Stair Climbing Constrained and Composite Sampling via Proximal Sampler Uncertainty-Aware Vision-Language Segmentation for Medical Imaging Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC Beyond Translation: Evaluating Mathematical Reasoning Capabilities of LLMs in Sinhala and Tamil TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations MATEO: A Multimodal Benchmark for Temporal Reasoning and Planning in LVLMs A Bayesian Approach to Low-Discrepancy Subset Selection LongAudio-RAG: Event-Grounded Question Answering over Multi-Hour Long Audio VariViT: A Vision Transformer for Variable Image Sizes Tabular Foundation Models Can Learn Association Rules Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset GenPANIS: A Latent-Variable Generative Framework for Forward and Inverse PDE Problems in Multiphase Media GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses Kernel-based optimization of measurement operators for quantum reservoir computers Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks Evolutionary System Prompt Learning can Facilitate Reinforcement Learning for LLMs The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings LLMStructBench: Benchmarking Large Language Model Structured Data Extraction Solving Inverse Parametrized Problems via Finite Elements and Extreme Learning Networks GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment SA-SSL-MOS: Self-supervised Learning MOS Prediction with Spectral Augmentation for Generalized Multi-Rate Speech Assessment Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs Exploring the limits of pre-trained embeddings in machine-guided protein design: a case study on predicting AAV vector viability RF-GPT: Teaching AI to See the Wireless World Multi-dimensional Persistent Sheaf Laplacians for Image Analysis The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Fast and accurate quasi-atom method for simultaneous atomistic and continuum simulation of solids Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Adjoint-based Shape Optimization, Machine Learning based Surrogate Models, Conditional Variational Autoencoder (CVAE), Voith Schneider propulsion (VSP), Self-propelled Ship, Propulsion Model, Hull Optimization From Classical to Quantum: Extending Prometheus for Unsupervised Discovery of Phase Transitions in Three Dimensions and Quantum Systems Activation-Space Uncertainty Quantification for Pretrained Networks Fault Detection in Electrical Distribution System using Autoencoders Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces ThermEval: A Structured Benchmark for Evaluation of Vision-Language Models on Thermal Imagery Distributed Quantum Gaussian Processes for Multi-Agent Systems BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames Cold-Start Personalization via Training-Free Priors from Structured World Models Generalization from Low- to Moderate-Resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI Learning with Subset Stacking When is Offline Policy Selection Sample Efficient for Reinforcement Learning? Permutation-based Inference for Variational Learning of Directed Acyclic Graphs Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Optimal Design for Human Preference Elicitation Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods Synergizing Foundation Models and Federated Learning: A Survey GraphFM: A generalist graph transformer that learns transferable representations across diverse domains Benchmarking AI-based data assimilation to advance data-driven global weather forecasting MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters Online Posterior Sampling with a Diffusion Prior Model-based Large Language Model Customization as Service Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection Cautious Optimizers: Improving Training with One Line of Code Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Regularized Top-$k$: A Bayesian Framework for Gradient Sparsification Adaptive Width Neural Networks SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization Fast Graph Generation via Autoregressive Noisy Filtration Modeling LO-BCQ: Block Clustered Quantization for 4-bit (W4A4) LLM Inference Fenchel-Young Variational Learning Less is More: Improving LLM Alignment via Preference Data Selection Contextual Quantum Neural Networks for Stock Price Prediction Robust Multi-Objective Controlled Decoding of Large Language Models Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Riemannian Denoising Diffusion Probabilistic Models Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction A Generalized Hierarchical Federated Learning Framework with Theoretical Guarantees RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning Residual Feature Integration is Sufficient to Prevent Negative Transfer Know When to Abstain: Optimal Selective Classification with Likelihood Ratios MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE On the Relation between Rectified Flows and Optimal Transport Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay A Cram\'er-von Mises Approach to Incentivizing Truthful Data Sharing Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs NeuronSeek: On Stability and Expressivity of Task-driven Neurons Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture Chain of Thought in Order: Discovering Learning-Friendly Orders for Arithmetic wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models The Serial Scaling Hypothesis DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Spatial Disaggregation of Urban Morphology FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts Lightning Prediction under Uncertainty: DeepLight with Hazy Loss Weather-Driven Agricultural Decision-Making Using Digital Twins Under Imperfect Conditions Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks MAVIS: Multi-Objective Alignment via Inference-Time Value-Guided Selection Predicting the Order of Upcoming Tokens Improves Language Modeling ART: Adaptive Resampling-based Training for Imbalanced Classification Online reinforcement learning via sparse Gaussian mixture model Q-functions DiffusionNFT: Online Diffusion Reinforcement with Forward Process Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample The Rogue Scalpel: Activation Steering Compromises LLM Safety Effective Quantization of Muon Optimizer States Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions LLM DNA: Tracing Model Evolution via Functional Representations OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models in Disguise Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling Where to Add PDE Diffusion in Transformers Efficient Test-Time Scaling for Small Vision-Language Models Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training Dual Goal Representations Bridged Clustering: Semi-Supervised Sparse Bridging Discrete State Diffusion Models: A Sample Complexity Perspective Challenges and Requirements for Benchmarking Time Series Foundation Models Model-agnostic Selective Labeling with Provable Statistical Guarantees Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models On the Mechanisms of Collaborative Learning in VAE Recommenders MURPHY: Multi-Turn GRPO for Self Correcting Code Generation MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation Evolution Strategies at the Hyperscale Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra ESPO: Entropy Importance Sampling Policy Optimization Scaling Behavior of Discrete Diffusion Language Models Network Level Evaluation of Hangup Susceptibility of HRGCs using Deep Learning and Sensing Techniques: A Goal Towards Safer Future ModSSC: A Modular Framework for Semi-Supervised Classification on Heterogeneous Data From GNNs to Symbolic Surrogates via Kolmogorov-Arnold Networks for Delay Prediction Critic-Guided Reinforcement Unlearning in Text-to-Image Diffusion Parallelizable memory recurrent units Orthogonalized Policy Optimization:Decoupling Sampling Geometry from Optimization Geometry in RLHF LAViG-FLOW: Latent Autoregressive Video Generation for Fluid Flow Simulations Endless Terminals: Scaling RL Environments for Terminal Agents GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic Reinforcement Learning via Self-Distillation Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes A Meta-Knowledge-Augmented LLM Framework for Hyperparameter Optimization in Time-Series Forecasting Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection Reinforcement Learning with Promising Tokens for Large Language Models How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces Privileged Information Distillation for Language Models Unbiased Single-Queried Gradient for Combinatorial Objective Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective Self-Improving World Modelling with Latent Actions On the Non-Identifiability of Steering Vectors in Large Language Models Causal Schr\"odinger Bridges: Constrained Optimal Transport on Structural Manifolds From Robotics to Sepsis Treatment: Offline RL via Geometric Pessimism Feature salience -- not task-informativeness -- drives machine learning model explanations dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning In-the-Wild Model Organisms: Mitigating Undesirable Emergent Behaviors in Production LLM Post-Training via Data Attribution Potential-energy gating for robust state estimation in bistable stochastic systems ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training Deep Two-Way Matrix Reordering for Relational Data Analysis Inference for relative sparsity A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Data-Driven Merton's Strategies via Policy Randomization Large and Deep Factor Models Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing Learning nonnegative matrix factorizations from compressed data Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks Predicting Company Growth using Scaling Theory informed Machine Learning Method for noise-induced regularization in quantum neural networks On uniqueness in structured model learning Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity Sensor-fusion based Prognostics for Deep-space Habitats Exhibiting Multiple Unlabeled Failure Modes TRecViT: A Recurrent Video Transformer Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool The Majority Vote Paradigm Shift: When Popular Meets Optimal Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks Simulating the Real World: A Unified Survey of Multimodal Generative Models AudioX: A Unified Framework for Anything-to-Audio Generation A representational framework for learning and encoding structurally enriched trajectories in complex agent environments Epsilon-Neighborhood Decision-Boundary Governed Estimation (EDGE) of 2D Black Box Classifier Functions A Novel 4-D Dataset Paradigm for Studying Complete Ligand-Protein Dissociation Dynamics Scalable LLM Reasoning Acceleration with Low-rank Distillation EVALOOOP: A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming Grounding Bodily Awareness in Visual Representations for Efficient Policy Learning Stationary MMD Points Are Statistical Methods Obsolete in the Era of Deep Learning? A Study of ODE Inverse Problems OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data Multi-Spectral Gaussian Splatting with Neural Color Representation Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling Superposed parameterised quantum circuits Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning 3DRot: Rediscovering the Missing Primitive for RGB-Based 3D Augmentation Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins HEAS: Hierarchical Evolutionary Agent Simulation Framework for Cross-Scale Modeling and Multi-Objective Search The Statistical Fairness-Accuracy Frontier Towards Production-Worthy Simulation for Autonomous Cyber Operations Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation Pareto-optimal Trade-offs Between Communication and Computation with Flexible Gradient Tracking AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression Internal Planning in Language Models: Characterizing Horizon and Branch Awareness TrackCore-F: Deploying Transformer-Based Subatomic Particle Tracking on FPGAs BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses Oracle-based Uniform Sampling from Convex Bodies GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications Heterogeneous RBCs via Deep Multi-Agent Reinforcement Learning AnyUp: Universal Feature Upsampling Efficient Tensor Completion Algorithms for Highly Oscillatory Operators Learning under Quantization for High-Dimensional Linear Regression What Can Be Recovered Under Sparse Adversarial Corruption? Assumption-Free Theory for Linear Measurements Bias-Corrected Data Synthesis for Imbalanced Learning AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning High-Dimensional Asymptotics of Differentially Private PCA Robust Bayesian Optimisation with Unbounded Corruptions Optimization and Regularization Under Arbitrary Objectives RosettaSpeech: Zero-Shot Speech-to-Speech Translation without Parallel Speech ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering Seismic event classification with a lightweight Fourier Neural Operator model ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real Graph Neural Networks for Interferometer Simulations Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection Recontextualization Mitigates Specification Gaming without Modifying the Specification Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT FormationEval, an open multiple-choice benchmark for petroleum geoscience From Mice to Trains: Amortized Bayesian Inference on Graph Data Explainable AI: Learning from the Learners CliffordNet: All You Need is Geometric Algebra Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning High-Dimensional Limit of Stochastic Gradient Flow via Dynamical Mean-Field Theory A Multiplicative Neural Network Architecture: Locality and Regularity of Approximation Optimal Learning-Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay ShapBPT: Image Feature Attributions Using Data-Aware Binary Partition Trees Discrete Adjoint Matching Debugging code world models When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases Evaluating Disentangled Representations for Controllable Music Generation The Manifold of the Absolute: Religious Perennialism as Generative Inference HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception GPT-4o Lacks Core Features of Theory of Mind String-Level Ground Fault Localization for TN-Earthed Three-Phase Photovoltaic Systems Reliable Thinking with ImagesArxiv cs.AI
Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique BotzoneBench: Scalable LLM Evaluation via Graded AI Anchors When to Think Fast and Slow? AMOR: Entropy-Based Metacognitive Gate for Dynamic SSM-Attention Switching VeRA: Verified Reasoning Data Augmentation at Scale Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning A Geometric Taxonomy of Hallucinations in LLMs Variation is the Key: A Variation-Based Framework for LLM-Generated Text Detection Intelligence as Trajectory-Dominant Pareto Optimization PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading Stay in Character, Stay Safe: Dual-Cycle Adversarial Self-Evolution for Safety Role-Playing Agents Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models AST-PAC: AST-guided Membership Inference for Code X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles DPBench: Large Language Models Struggle with Simultaneous Coordination MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI Systems General learned delegation by clones Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks ProMoral-Bench: Evaluating Prompting Strategies for Moral Reasoning and Safety in LLMs Artificial Organisations BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey Mirror: A Multi-Agent System for AI-Assisted Ethics Review DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing Situation Graph Prediction: Structured Perspective Inference for User Modeling Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol Detecting Jailbreak Attempts in Clinical Training LLMs Through Automated Linguistic Feature Extraction Contrastive explanations of BDI agents Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts MoralityGym: A Benchmark for Evaluating Hierarchical Moral Alignment in Sequential Decision-Making Agents On-Policy Supervised Fine-Tuning for Efficient Reasoning NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage Translating Dietary Standards into Healthy Meals with Minimal Substitutions SPILLage: Agentic Oversharing on the Web REMem: Reasoning with Episodic Memory in Language Agent OpAgent: Operator Agent for Web Navigation Who Do LLMs Trust? Human Experts Matter More Than Other LLMs Differentiable Rule Induction from Raw Sequence Inputs A First Proof Sprint Hippocampus: An Efficient and Scalable Memory Module for Agentic AI The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving Guided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience Retrieval Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy Optimization HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating AllMem: A Memory-centric Recipe for Efficient Long-context Modeling PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems? No Need to Train Your RDB Foundation Model OneLatent: Single-Token Compression for Visual Latent Reasoning OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery StackingNet: Collective Inference Across Independent AI Foundation Models Attention in Constant Time: Vashista Sparse Attention for Long-Context Decoding with Exponential Guarantees An end-to-end agentic pipeline for smart contract translation and quality evaluation Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking From Fluent to Verifiable: Claim-Level Auditability for Deep Research Agents Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay Ambient Physics: Training Neural PDE Solvers with Partial Observations VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection Diagnosing Pathological Chain-of-Thought in Reasoning Models From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling Statistical Early Stopping for Reasoning Models A Generalizable Physics-guided Causal Model for Trajectory Prediction in Autonomous Driving Neuromem: A Granular Decomposition of the Streaming Lifecycle in External Memory for LLMs Cognitive Chunking for Soft Prompts: Accelerating Compressor Learning via Block-wise Causal Masking Bridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms Prompt-Driven Low-Altitude Edge Intelligence: Modular Agents and Generative Reasoning FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning Choosing How to Remember: Adaptive Memory Structures for LLM Agents REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment Plan-MCTS: Plan Exploration for Action Exploitation in Web Navigation GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training NEST: Nascent Encoded Steganographic Thoughts Algebraic Quantum Intelligence: A New Framework for Reproducible Machine Creativity ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning Text Before Vision: Staged Knowledge Injection Matters for Agentic RLVR in Ultra-High-Resolution Remote Sensing Understanding CORPGEN: Simulating Corporate Environments with Autonomous Digital Employees in Multi-Horizon Task Environments REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents GRAIL: Goal Recognition Alignment through Imitation Learning AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines Benchmarking at the Edge of Comprehension Competition for attention predicts good-to-bad tipping in AI Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Traces Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5 Bounding Probabilities of Causation with Partial Causal Diagrams Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC Diagnosing Knowledge Conflict in Multimodal Long-Chain Reasoning Disentangling Deception and Hallucination Failures in LLMs MATEO: A Multimodal Benchmark for Temporal Reasoning and Planning in LVLMs Tabular Foundation Models Can Learn Association Rules Arbor: A Framework for Reliable Navigation of Critical Conversation Flows From User Preferences to Base Score Extraction Functions in Gradual Argumentation GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses Removing Planner Bias in Goal Recognition Through Multi-Plan Dataset Generation Evolutionary System Prompt Learning can Facilitate Reinforcement Learning for LLMs WebWorld: A Large-Scale World Model for Web Agent Training AI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises Return of the Schema: Building Complete Datasets for Machine Learning and Reasoning on Knowledge Graphs World Models for Policy Refinement in StarCraft II EmbeWebAgent: Embedding Web Agents into Any Customized UI Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution Lifted Relational Probabilistic Inference via Implicit Learning The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics Position: Introspective Experience from Conversational Environments as a Path to Better Learning ReusStdFlow: A Standardized Reusability Framework for Dynamic Workflow Construction in Agentic AI MAC-AMP: A Closed-Loop Multi-Agent Collaboration System for Multi-Objective Antimicrobial Peptide Design On the Semantics of Primary Cause in Hybrid Dynamic Domains Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval Simulation-Based Study of AI-Assisted Channel Adaptation in UAV-Enabled Cellular Networks Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation Hybrid Secure Routing in Mobile Ad-hoc Networks (MANETSs) A Safety-Constrained Reinforcement Learning Framework for Reliable Wireless Autonomy Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization An Overlay Multicast Routing Method Based on Network Situational Aware-ness and Hierarchical Multi-Agent Reinforcement Learning Computability of Agentic Systems An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks Real-World Design and Deployment of an Embedded GenAI-powered 9-1-1 Calltaking Training System: Experiences and Lessons Learned Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K--12 Science Instructional Materials Responsible AI in Business Global AI Bias Audit for Technical Governance Boltz is a Strong Baseline for Atom-level Representation Learning Implicit Bias in LLMs for Transgender Populations Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging LLM-Enhanced Rumor Detection via Virtual Node Induced Edge Prediction GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs AGORA: Agentic Green Orchestration Architecture for Beyond 5G Networks Agent Mars: Multi-Agent Simulation for Multi-Planetary Life Exploration and Settlement VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction Effect of Convolutional Depth on Image Recognition Performance: VGG vs. ResNet vs. GoogLeNet KidMesh: Computational Mesh Reconstruction for Pediatric Congenital Hydronephrosis Using Deep Neural Networks Spectral Collapse in Diffusion Inversion Progressive Contrast Registration for High-Fidelity Bidirectional Photoacoustic Microscopy Alignment WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery Fine-Tuning a Large Vision-Language Model for Artwork's Scoring and Critique Learning to Select Like Humans: Explainable Active Learning for Medical Imaging Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension PeroMAS: A Multi-agent System of Perovskite Material Discovery Agentic Spatio-Temporal Grounding via Collaborative Reasoning Sim2Radar: Toward Bridging the Radar Sim-to-Real Gap with VLM-Guided Scene Reconstruction IDPruner: Harmonizing Importance and Diversity in Visual Token Pruning for MLLMs Semantic Waveforms for AI-Native 6G Networks Synthesizing the Kill Chain: A Zero-Shot Framework for Target Verification and Tactical Reasoning on the Edge HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling An Integrated Causal Inference Framework for Traffic Safety Modeling with Semantic Street-View Visual Features CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models Detecting Brick Kiln Infrastructure at Scale: Graph, Foundation, and Remote Sensing Models for Satellite Imagery Data A Formal Framework for the Explanation of Finite Automata Decisions Using Deep Learning to Generate Semantically Correct Hindi Captions AdaCorrection: Adaptive Offset Cache Correction for Accurate Diffusion Transformers Nonparametric Distribution Regression Re-calibration Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents G2CP: A Graph-Grounded Communication Protocol for Verifiable and Efficient Multi-Agent Reasoning An Online Reference-Free Evaluation Framework for Flowchart Image-to-Code Generation Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents Protect$^*$: Steerable Retrosynthesis through Neuro-Symbolic State Encoding Metabolic cost of information processing in Poisson variational autoencoders Backdooring Bias in Large Language Models FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation End-to-End NOMA with Perfect and Quantized CSI Over Rayleigh Fading Channels LLM-Powered Automatic Translation and Urgency in Crisis Scenarios Using Machine Learning to Enhance the Detection of Obfuscated Abusive Words in Swahili: A Focus on Child Safety MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook Language Model Memory and Memory Models for Language How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People Comparing Classifiers: A Case Study Using PyCM Finding Highly Interpretable Prompt-Specific Circuits in Language Models Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity What Do We Mean by 'Pilot Study': Early Findings from a Meta-Review of Pilot Study Reporting at CHI Future of Edge AI in biodiversity monitoring TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers From Perceptions To Evidence: Detecting AI-Generated Content In Turkish News Media With A Fine-Tuned Bert Classifier $\gamma$-weakly $\theta$-up-concavity: Linearizable Non-Convex Optimization with Applications to DR-Submodular and OSS Functions Arming Data Agents with Tribal Knowledge Singular Vectors of Attention Heads Align with Features On Calibration of Large Language Models: From Response To Capability AISA: Awakening Intrinsic Safety Awareness in Large Language Models against Jailbreak Attacks Privacy-Concealing Cooperative Perception for BEV Scene Segmentation Discrete-Space Generative AI Pipeline for Semantic Transmission of Signals Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems Elo-Evolve: A Co-evolutionary Framework for Language Model Alignment Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework From What to How: Bridging User Requirements with Software Development Using Large Language Models Anthropomorphism on Risk Perception: The Role of Trust and Domain Knowledge in Decision-Support AI Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation PT-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Papers KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination Cumulative Utility Parity for Fair Federated Learning under Intermittent Client Participation LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseases ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer MAS-on-the-Fly: Dynamic Adaptation of LLM-based Multi-Agent Systems at Test Time Transferable XAI: Relating Understanding Across Domains with Explanation Transfer An Ensemble Learning Approach towards Waste Segmentation in Cluttered Environment On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning Pailitao-VL: Unified Embedding and Reranker for Real-Time Multi-Modal Industrial Search HybridFlow: A Two-Step Generative Policy for Robotic Manipulation OmniScience: A Large-scale Multi-modal Dataset for Scientific Image Understanding MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation DTBench: A Synthetic Benchmark for Document-to-Table Extraction Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference What happens when reviewers receive AI feedback in their reviews? Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation Evaluating LLM-Generated ACSL Annotations for Formal Verification GSRM: Generative Speech Reward Model for Speech RLHF RPGD: RANSAC-P3P Gradient Descent for Extrinsic Calibration in 3D Human Pose Estimation Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks Common Knowledge Always, Forever A Comparative Analysis of Social Network Topology in Reddit and Moltbook GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization An Adaptive Model Selection Framework for Demand Forecasting under Horizon-Induced Degradation to Support Business Strategy and Operations You Can Learn Tokenization End-to-End with Reinforcement Learning Experiential Reinforcement Learning Eureka-Audio: Triggering Audio Intelligence in Compact Language Models Chemical Language Models for Natural Products: A State-Space Model Approach DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL The Sufficiency-Conciseness Trade-off in LLM Self-Explanation from an Information Bottleneck Perspective Named Entity Recognition for Payment Data Using NLP A Deployment-Friendly Foundational Framework for Efficient Computational Pathology From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models BitDance: Scaling Autoregressive Generative Models with Binary Tokens Restoration Adaptation for Semantic Segmentation on Low Quality Images Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models SemanticFeels: Semantic Labeling during In-Hand Manipulation Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management DenseMLLM: Standard Multimodal LLMs are Intrinsic Dense Predictors Detection of On-Ground Chestnuts Using Artificial Intelligence Toward Automated Picking When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance A Multi-Agent Framework for Medical AI: Leveraging Fine-Tuned GPT, LLaMA, and DeepSeek R1 for Evidence-Based and Bias-Aware Clinical Query Processing Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling Towards Spatial Transcriptomics-driven Pathology Foundation Models UniWeTok: An Unified Binary Tokenizer with Codebook Size $\mathit{2^{128}}$ for Unified Multimodal Large Language Model GPT-5 vs Other LLMs in Long Short-Context Performance Knowing When Not to Answer: Abstention-Aware Scientific Reasoning GeoEyes: On-Demand Visual Focusing for Evidence-Grounded Understanding of Ultra-High-Resolution Remote Sensing Imagery SkillJect: Automating Stealthy Skill-Based Prompt Injection for Coding Agents with Trace-Driven Closed-Loop Refinement Reasoning Language Models for complex assessments tasks: Evaluating parental cooperation from child protection case reports Evaluating LLMs in Finance Requires Explicit Bias Consideration Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models AbracADDbra: Touch-Guided Object Addition by Decoupling Placement and Editing Subtasks A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction Multi-Agent Debate: A Unified Agentic Framework for Tabular Anomaly Detection AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting A Rational Analysis of the Effects of Sycophantic AI Integrating Unstructured Text into Causal Inference: Empirical Evidence from Real Data Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions FMMD: A multimodal open peer review dataset based on F1000Research KernelBlaster: Continual Cross-Task CUDA Optimization via Memory-Augmented In-Context Reinforcement Learning Machine Learning as a Tool (MLAT): A Framework for Integrating Statistical ML Models as Callable Tools within LLM Agent Workflows Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices Offline Learning of Nash Stable Coalition Structures with Possibly Overlapping Coalitions Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning Zero-Shot Instruction Following in RL via Structured LTL Representations AXE: An Agentic eXploit Engine for Confirming Zero-Day Vulnerability Reports WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study High Precision Audience Expansion via Extreme Classification in a Two-Sided Marketplace A Trajectory-Based Safety Audit of Clawdbot (OpenClaw) Image-based Joint-level Detection for Inflammation in Rheumatoid Arthritis from Small and Imbalanced Data InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem Differentially Private Retrieval-Augmented Generation Adapting VACE for Real-Time Autoregressive Video Diffusion pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI TruthStance: An Annotated Dataset of Conversations on Truth Social Feature Recalibration Based Olfactory-Visual Multimodal Model for Fine-Grained Rice Deterioration Detection The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations Synthetic Reader Panels: Tournament-Based Ideation with LLM Personas for Autonomous Publishing Broken Chains: The Cost of Incomplete Reasoning in LLMs Selective Synchronization Attention WiSparse: Boosting LLM Inference Efficiency with Weight-Aware Mixed Activation Sparsity Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems Learning Transferability: A Two-Stage Reinforcement Learning Approach for Enhancing Quadruped Robots' Performance in U-Shaped Stair Climbing When OpenClaw AI Agents Teach Each Other: Peer Learning Patterns in the Moltbook Community On the Rate-Distortion-Complexity Tradeoff for Semantic Communication TikArt: Aperture-Guided Observation for Fine-Grained Visual Reasoning via Reinforcement Learning Revisiting the Platonic Representation Hypothesis: An Aristotelian View BETA-Labeling for Multilingual Dataset Construction in Low-Resource IR Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets Governing AI Forgetting: Auditing for Machine Unlearning Compliance Fluid-Agent Reinforcement Learning Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow Automated Classification of Source Code Changes Based on Metrics Clustering in the Software Development Process OPBench: A Graph Benchmark to Combat the Opioid Crisis Towards Selection as Power: Bounding Decision Authority in Autonomous Agents LongAudio-RAG: Event-Grounded Question Answering over Multi-Hour Long Audio VariViT: A Vision Transformer for Variable Image Sizes Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speech ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks Qute: Towards Quantum-Native Database Orcheo: A Modular Full-Stack Platform for Conversational Search ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions Scale redundancy and soft gauge fixing in positively homogeneous neural networks Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers Universal Algorithm-Implicit Learning Unlocking Reasoning Capability on Machine Translation in Large Language Models Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture A Geometric Analysis of Small-sized Language Model Hallucinations What hackers talk about when they talk about AI: Early-stage diffusion of a cybercrime innovation VIPA: Visual Informative Part Attention for Referring Image Segmentation Debiasing Central Fixation Confounds Reveals a Peripheral "Sweet Spot" for Human-like Scanpaths in Hard-Attention Vision Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning On the Learning Dynamics of RLVR at the Edge of Competence CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography Numerical exploration of the range of shape functionals using neural networks Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems BFS-PO: Best-First Search for Large Reasoning Models BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement ThermEval: A Structured Benchmark for Evaluation of Vision-Language Models on Thermal Imagery Spectral Convolution on Orbifolds for Geometric Deep Learning Cold-Start Personalization via Training-Free Priors from Structured World Models Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization Mastering NIM and Impartial Games with Weak Neural Networks: An AlphaZero-inspired Multi-Frame Approach A representational framework for learning and encoding structurally enriched trajectories in complex agent environments RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy Large Language Models as Oracles for Ontology Alignment AI sustains higher strategic tension than humans in chess Internal Planning in Language Models: Characterizing Horizon and Branch Awareness GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time SAFER: Risk-Constrained Sample-then-Filter in Large Language Models OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs ParaCook: On Time-Efficient Planning for Multi-Agent Systems An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library Human-Centered LLM-Agent System for Detecting Anomalous Digital Asset Transactions Dataforge: Agentic Platform for Autonomous Data Engineering AgenticSciML: Collaborative Multi-Agent Systems for Emergent Discovery in Scientific Machine Learning ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving Uncertainty-Aware Measurement of Scenario Suite Representativeness for Autonomous Systems Training Multimodal Large Reasoning Models Needs Better Thoughts: A Three-Stage Framework for Long Chain-of-Thought Synthesis and Selection Recontextualization Mitigates Specification Gaming without Modifying the Specification The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs From Stories to Cities to Games: A Qualitative Evaluation of Behaviour Planning Explainable AI: Learning from the Learners Internal Deployment Gaps in AI Regulation Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection ScholarGym: Benchmarking Large Language Model Capabilities in the Information-Gathering Stage of Deep Research Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Persuasion Propagation in LLM Agents ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems PATHWAYS: Evaluating Investigation and Context Discovery in AI Web Agents OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment GPT-4o Lacks Core Features of Theory of Mind Consistency of Large Reasoning Models Under Multi-Turn Attacks LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction When is Offline Policy Selection Sample Efficient for Reinforcement Learning? Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios Synergizing Foundation Models and Federated Learning: A Survey Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing Model-based Large Language Model Customization as Service Automated Proof Generation for Rust Code via Self-Evolution VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery Cautious Optimizers: Improving Training with One Line of Code LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces Dataset Distillation via Committee Voting Adaptive Width Neural Networks The Majority Vote Paradigm Shift: When Popular Meets Optimal Less is More: Improving LLM Alignment via Preference Data Selection RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application Contextual Quantum Neural Networks for Stock Price Prediction Simulating the Real World: A Unified Survey of Multimodal Generative Models Robust Multi-Objective Controlled Decoding of Large Language Models Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Modeling AI-Human Collaboration as a Multi-Agent Adaptation SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction Benchmarking Retrieval-Augmented Generation for Chemistry Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems Scalable LLM Reasoning Acceleration with Low-rank Distillation Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning Residual Feature Integration is Sufficient to Prevent Negative Transfer Single Image Reflection Separation via Dual Prior Interaction Transformer Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques Know When to Abstain: Optimal Selective Classification with Likelihood Ratios MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE Multi-Objective Neural Network-Assisted Design Optimization of Soft Fin-Ray Fingers for Enhanced Grasping Performance KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider Multi-Spectral Gaussian Splatting with Neural Color Representation High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling Enhancing Delta Compression in LLMs via SVD-based Quantization Error Minimization Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs NeuronSeek: On Stability and Expressivity of Task-driven Neurons An Agentic System for Rare Disease Diagnosis with Traceable Reasoning Vision Transformers for Multi-Variable Climate Downscaling: Emulating Regional Climate Models with a Shared Encoder and Multi-Decoder Architecture Chain of Thought in Order: Discovering Learning-Friendly Orders for Arithmetic SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models Simulating Cyberattacks through a Breach Attack Simulation (BAS) Platform empowered by Security Chaos Engineering (SCE) Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts Lightning Prediction under Uncertainty: DeepLight with Hazy Loss Robust MultiSpecies Agricultural Segmentation Across Devices, Seasons, and Sensors Using Hierarchical DINOv2 Models Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation Towards Production-Worthy Simulation for Autonomous Cyber Operations CellINR: Implicitly Overcoming Photo-induced Artifacts in 4D Live Fluorescence Microscopy A Financial Brain Scan of the LLM ART: Adaptive Resampling-based Training for Imbalanced Classification Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book Dynamics Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation Complexity Bounds for Smooth Multiobjective Optimization DiffusionNFT: Online Diffusion Reinforcement with Forward Process Evolution of Concepts in Language Model Pre-Training Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field The Rogue Scalpel: Activation Steering Compromises LLM Safety Differentially Private Two-Stage Gradient Descent for Instrumental Variable Regression ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search LLM DNA: Tracing Model Evolution via Functional Representations VoiceBridge: General Speech Restoration with One-step Latent Bridge Models BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark Where to Add PDE Diffusion in Transformers RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions Dual Goal Representations The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach Discrete State Diffusion Models: A Sample Complexity Perspective Challenges and Requirements for Benchmarking Time Series Foundation Models Model-agnostic Selective Labeling with Provable Statistical Guarantees Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models Learning under Quantization for High-Dimensional Linear Regression Top-Down Semantic Refinement for Image Captioning Batch Speculative Decoding Done Right AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence Importance Ranking in Complex Networks via Influence-aware Causal Node Embedding On the Mechanisms of Collaborative Learning in VAE Recommenders Formal Reasoning About Confidence and Automated Verification of Neural Networks MURPHY: Multi-Turn GRPO for Self Correcting Code Generation Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types Evolution Strategies at the Hyperscale ESPO: Entropy Importance Sampling Policy Optimization RRPO: Robust Reward Policy Optimization for LLM-based Emotional TTS ArtistMus: A Globally Diverse, Artist-Centric Benchmark for Retrieval-Augmented Music Question Answering Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB Network Level Evaluation of Hangup Susceptibility of HRGCs using Deep Learning and Sensing Techniques: A Goal Towards Safer Future Writing in Symbiosis: Mapping Human Creative Agency in the AI Era IntentMiner: Intent Inversion Attack via Tool Call Analysis in the Model Context Protocol Emergent human-like working memory from artificial neurons with intrinsic plasticity Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis Multi-LLM Thematic Analysis with Dual Reliability Metrics: Combining Cohen's Kappa and Semantic Similarity for Qualitative Research Validation Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots FormationEval, an open multiple-choice benchmark for petroleum geoscience Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG Orthogonalized Policy Optimization:Decoupling Sampling Geometry from Optimization Geometry in RLHF Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum An Agentic Operationalization of DISARM for FIMI Investigation on Social Media Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints From Fuzzy to Exact: The Halo Architecture for Infinite-Depth Reasoning via Rational Arithmetic Interpreting Emergent Extreme Events in Multi-Agent Systems Reinforcement Learning via Self-Distillation A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment Cross-Modal Purification and Fusion for Small-Object RGB-D Transmission-Line Defect Detection Cardinality-Preserving Attention Channels for Graph Transformers in Molecular Property Prediction RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection Reinforcement Learning with Promising Tokens for Large Language Models Accelerating Scientific Research with Gemini: Case Studies and Common Techniques Privileged Information Distillation for Language Models Metric Hedonic Games on the Line Self-Improving World Modelling with Latent Actions On the Non-Identifiability of Steering Vectors in Large Language Models ShallowJail: Steering Jailbreaks against Large Language Models Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots Debugging code world models Language Modeling and Understanding Through Paraphrase Generation and Detection Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer In-the-Wild Model Organisms: Mitigating Undesirable Emergent Behaviors in Production LLM Post-Training via Data Attribution The Manifold of the Absolute: Religious Perennialism as Generative Inference ReaDy-Go: Real-to-Sim Dynamic 3D Gaussian Splatting Simulation for Environment-Specific Visual Navigation with Moving Obstacles Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation DiscoveryGithub Trending (Python)
p-e-w/heretic freqtrade/freqtrade marketcalls/openalgo ruvnet/wifi-densepose anthropics/claude-quickstarts hesreallyhim/awesome-claude-code home-assistant/core karpathy/nanochat kyutai-labs/moshi davila7/claude-code-templates hummingbot/hummingbot lllyasviel/FooocusGithub Trending (C)
ImageMagick/ImageMagick libarchive/libarchive paxx12/SnapmakerU1-Extended-Firmware jaylikesbunda/Ghost_ESP olikraus/u8g2 betaflight/betaflight ProjectNyxian/Nyxian zmkfirmware/zmk xiph/opus lizongying/my-tv stackia/rtp2httpd Klipper3d/klipper oerg866/win98-quickinstall FalkorDB/FalkorDB davidgiven/ack raysan5/raylib RfidResearchGroup/proxmark3 qmk/qmk_firmware moonshine-ai/moonshineNature
Publisher Correction: Psychedelics elicit their effects by 5-HT2A receptor-mediated Gi signalling Smartphones are a double-edged tool in classrooms Student dilemma: physical science or physical education? Statistical approximation is not general intelligence The funding system needs fixing — but it’s not a ‘waste of time and money’ What’s behind ‘teensplaining’? Scientists should study this adolescent behaviour Don’t deprioritize curiosity-driven research Brain differences between sexes get more pronounced from puberty Why sky-high pay for AI researchers is bad for the future of science Nanoscience is latest discipline to embrace large-scale replication efforts The science influencers going viral on TikTok to fight misinformation Updates to the ‘bible’ for mental-health conditions will miss the mark — is it time to ditch the DSM? Editorial Expression of Concern: Transcription-independent ARF regulation in oncogenic stress-mediated p53 responses Editorial Expression of Concern: Deacetylation of p53 modulates its effect on cell growth and apoptosis Author Correction: The genomic landscape of response to EGFR blockade in colorectal cancer De novo design of GPCR exoframe modulators Can consciousness ever be understood — this side of death? Why we don’t really know what the public thinks about science How to wow a popular-science writer with your research expertise Why Europe barred China from flagship Horizon research programmes Daily briefing: New platform lets AI agents hire human helpers ‘What are we doing here?’ The polymaths who searched for the meaning of life Briefing Chat: Caffeine slows brain ageing, suggests decades of data CAR-T therapy provides relief for children with autoimmune diseases Parasitic wasps use tamed virus to castrate caterpillars Is social media addictive for teens? US courts wade into scientific debate When a colleague dies: exploring academia's ‘death-denying’ culture How AI slop is causing a crisis in computer science Exclusive: Key US infectious-diseases centre to drop pandemic preparation ‘I was nearly arrested’: escaping Myanmar’s military leadership for a PhD abroad Daily briefing: Exercise rewires the brain for endurance, in mice AI agents are hiring human 'meatspace workers' — including some scientists Publisher Correction: Physiology and immunology of a pig-to-human decedent kidney xenotransplant Flexible joints: robot morphs into a range of cyborg species A Yangtze without fishers — but not without fish How some COVID vaccines triggered rare blood-clot disorder US repeals key ‘endangerment finding’ that climate change is a public threat From ancient temples to bomb craters: explore Laos’s layered history — in photos Self-powered vibration sensor for wearable health care and voice detection Daily briefing: Hunter-gatherers in Europe’s ‘water world’ resisted the switch to farming for millennia Grant proposals drafted with AI help more likely to win NIH funding The ‘astounding’ rise of semaglutide — and what’s next for weight-loss drugs Exercise rewires the brain — boosting the body’s endurance Science funding needs fixing — but not through chaotic reforms Transferable enantioselectivity models from sparse data Author Correction: Inference and reconstruction of the heimdallarchaeial ancestry of eukaryotes These hungry immune cells tidy sleeping flies’ brains An ancient Roman game board’s secrets are revealed — with AI’s help China to punish universities that fail to sanction research misconduct Tiny robot fish could swim through the body powered by ultrasound Aluminium redox catalysis enables cyclotrimerization of alkynes CSN5i-3 is an orthosteric molecular glue inhibitor of COP9 signalosome Transmission of MPXV from fire-footed rope squirrels to sooty mangabeys Maximizing perovskite electroluminescence with ordered 3D/2D heterojunction Conformational diversity and fully opening mechanism of native NMDA receptor Pre-incision structures reveal principles of DNA nucleotide excision repair Fossil isotope evidence for trophic simplification on modern Caribbean reefs Astrocytes enable amygdala neural representations supporting memory Months-long stability of the head-direction system SLAMF6 as a drug-targetable suppressor of T cell immunity against cancer Targeting excessive cholesterol deposition alleviates secondary lymphoedema Giant magnetocaloric effect and spin supersolid in a metallic dipolar magnet Lasting Lower Rhine–Meuse forager ancestry shaped Bell Beaker expansion Continuous-wave narrow-linewidth vacuum ultraviolet laser source Striatum-wide dopamine encodes trajectory errors separated from value Sub-second volumetric 3D printing by synthesis of holographic light fields Parity-doublet coherence times in optically trapped polyatomic molecules Single-shot parity readout of a minimal Kitaev chain Sleep-dependent clearance of brain lipids by peripheral blood cells Sub-part-per-trillion test of the Standard Model with atomic hydrogen Large-scale quantum communication networks with integrated photonics African countries must take control of health policy Untapped catalytic ability of aluminium has been unlocked Babies at nursery shape each other’s microbiomes Hunter-gatherers took refuge in European ‘water world’ for millenniaCNN
Some on-air claims about Dominion Voting Systems were false, Fox News acknowledges in statement after deal is announced Dominion still has pending lawsuits against election deniers such as Rudy Giuliani and Sidney Powell Here are the 20 specific Fox broadcasts and tweets Dominion says were defamatory Judge in Fox News-Dominion defamation trial: 'The parties have resolved their case' 'Difficult to say with a straight face': Tapper reacts to Fox News' statement on settlement Millions in the US could face massive consequences unless McCarthy can navigate out of a debt trap he set for Biden White homeowner accused of shooting a Black teen who rang his doorbell turns himself in to face criminal charges Newly released video shows scene of Jeremy Renner's snowplow accident Jake Gyllenhaal and Jamie Lee Curtis spent the Covid-19 lockdown together Toddler crawls through White House fence, prompts Secret Service response Jamie Foxx remains hospitalized nearly a week after 'medical complication' A 13-year-old dies after participating in a Benadryl TikTok 'challenge' See pizza delivery guy take out suspect fleeing police Netflix is winding down its DVD business after 25 years FTC chair Lina Khan warns AI could 'turbocharge' fraud and scams Eating too much of these foods is driving the rise in type 2 diabetes, study says ADHD medication abuse in schools is a 'wake-up call' Apple CEO was presented with an original Macintosh. See his reaction Democrats bash Justice Clarence Thomas but their plan to investigate ethics allegations is unclear Russia is 'going backwards' in equipment and deploying post WWII-era tanks, according to Western officials Two Russians claiming to be former Wagner commanders admit killing children and civilians in Ukraine 'My stomach is hurting from laughing': Hear panelist's reaction to DeSantis' threat to Disney GOP prepared to block vote to replace Feinstein on Senate Judiciary Oklahoma governor calls on officials to resign over recording of racist and threatening remarks McCarthy slams Biden in handling of US debt US warns Russia not to touch American nuclear technology at Ukrainian nuclear plant Repeated gunshots fired on live TV as ex-lawmaker shot by assassins FDA clears the way for additional bivalent boosters for certain vulnerable individuals Maine authorities detained a person of interest after 4 people were found dead in a home and 3 others shot while driving Southwest says flights resumed after delays caused by 'tech issues' Damar Hamlin cleared to resume football activities after January cardiac arrest Pilot makes history after landing on top of a 56-story hotel Top US Navy admiral defends non-binary sailor amid some Republican criticism Fulton County DA says fake Trump electors are incriminating one another and wants lawyer disqualified High speed trains are racing across the world. But not in America Podcast: One country musician is calling for other artists to oppose assault rifles Here's what you need to know if you haven't filed your return yet — and even if you have Undocumented immigrants are paying their taxes today, too Opinion: Why millionaires like us want to pay more in taxes 'World's longest' purpose-built cycling tunnel opens in Norway Artist rejects photo prize after AI-generated image wins award These ships disappeared in Lake Superior a century ago. Watch as they're found again Erotic images of seniors show sex and intimacy in new light China's economy is off to a solid start, rising 4.5% in Q1 2023 Even when wives make as much as husbands, they still do more at home McDonald's is upgrading its burgers Google-parent stock drops on fears it could lose search market share to AI-powered rivals Bidets save you money and reduce waste — we tested the best options out there 50+ products to make your life easier and our planet cleaner Mother's Day is around the corner. Here are 50+ thoughtful gifts she'll love A head-to-toe guide of how men should dress this spring, and where they should shop 42 of the most useful travel products you can buy on Amazon The 7 best high-yield savings accounts of April 2023 Taxes are due tomorrow. Here's how to file for an extension Composting is an easy way to reduce food waste. Here's how to do it We stopped using aluminum foil for cooking and you should too. Here's what to use instead The beloved Dyson Supersonic hair dryer is at its lowest price ever Everything you need to know about Way Day 2023, Wayfair's biggest sale of the year The 10 best Amazon deals to shop this week Mifepristone saved my life The 2024 presidential alternative many voters will want Why isn't the House Judiciary Committee looking into Thomas? Top secrets come spilling out How did Sudan go from casting off despotic rule to this? Michelle Yeoh set to return in new 'Star Trek' movie Recap: 'Succession' finds dark humor in the aftershocks 'Yellowjackets' leans hard into '90s music nostalgia, and we're here for it Jeremy Renner revisits 'the amazing group of people' who helped him recover from his accident Review: 'Barry' takes a whack at its farewell seasonNPR News
The U.S. falters again in figure skating, but the women still have time to make it up Meet Yolanda the wax truck, Team USA's unsung cross-country ski hero A safe space for girls who've faced sexual violence U.S. releases new details on alleged secret Chinese nuclear test The very polite, unheated rivalry between Jordan Stolz and Jenning de Boo Top DHS spokesperson who became a face of Trump immigration policy is leaving A photojournalist details her rebellion against the Syrian regime -- and her father India has long promised 'vibrant' border villages, as China speedily builds up Rev. Jesse Jackson has died. And, U.S. and Iran set for high-stakes nuclear talks The record-breaking cocaine boom — and its deadly falloutThe Atlantic
Do Not Be Cynical About Jesse Jackson Censorship Comes for Stephen Colbert AI Agents Are Taking America by Storm Winter Olympics Photo of the Day: In Pursuit An Olympic Trend That Defies Tradition Winners of the 2026 Sony World Photography Awards Open Competition The Republicans Made Peace With Science Europe Has Received the Message American Kids Used to Eat Everything Seeing Ourselves in America’s Unfinished Revolution The Ghosts of Toni Morrison No, It’s Not Back to Business as Usual Marco Rubio’s Impressive Speech A Different Kind of Leading Man Winter Olympics Photo of the Day: Snow Jump A No-Name Director to Everyone but His 38 Million Fans The Founders Would Have Opposed ‘Nationalizing’ Elections Is Anything Morally Obvious Anymore? How Many Wolves Is Enough? 150 Years Ago in Photos The Disappointment of Young Trump Voters Crypto Is a Victim of Its Own Success Norway Faces Up to Trump’s Demands for the Nobel Peace Prize Marco Rubio Doesn’t Get It Winter Olympics Photo of the Day: On TargetVox
The Trump threat looming over late-night TV, briefly explained Emily Brontë’s Wuthering Heights is a million times edgier than Emerald Fennell’s How communities rally when the government fails them Is Grindr Dead? What American democracy can learn from 1930s Finland Americans spend less of their income on food than almost ever. Why doesn’t it feel that way? The mysterious symptom popping up in some GLP-1 users The Epstein files are becoming a real problem for Trump — with his own conspiratorial voters One of the hottest therapy styles is scientifically shaky — so why does it seem to work? The real reasons people love playing gamesAl Jazeera
US immigration judge rejects Trump bid to deport Columbia student Mahdawi Hamas: Trump’s ‘Board of Peace’ must stop Israel’s killing in Gaza Vinicius earns Real Madrid 1-0 win at Benfica in match marred by racism row Humanoid robots perform advanced martial arts at Chinese New Year gala Tributes pour in after US civil rights icon Jesse Jackson dies at 84 Colombia to resume peace talks with ECG after temporary suspension Warner Bros rejects latest Paramount bid but open to ‘best and final’ offer US and Iran reach ‘guiding principles’ in Geneva nuclear talks Yemeni Americans feel ‘betrayed’ as Trump revokes immigration protections ‘Journey of hell’: Migrants in Libya endure torture, rape, forced labour Thousands in Kosovo rally against war crimes trial of ex-KLA commanders US president’s son Eric Trump invests in drone maker with gov’t contracts Sheinbaum says Mexico declines Trump’s ‘Board of Peace’ invite Why Israel’s annexation threatens Jordan US judge says wrongfully deported Kilmar Abrego Garcia can’t be re-detained Peru’s Congress votes to impeach President Jose Jeri in government shake-up ‘I’ve heard nothing but great things,’ LeBron James says of Israel Who should control our digital world? Tarique Rahman sworn in as Prime Minister of Bangladesh US kills 11 people in three strikes on alleged drug-trafficking vessels Deadly explosion rocks Russian military site near St Petersburg Benfica vs Real Madrid 0-1: Champions League playoff – as it happened Iran’s Khamenei maintains tough rhetoric with US despite nuclear talks Latin America: In the Shadow of the US | Ep 2 – Wars EU opens probe into online global retailer Shein after sex-doll scandalArs Technica
GameHub will give Mac owners another imperfect way to play Windows games Password managers' promise that they can't see your vaults isn't always true Stephen Colbert says CBS forbid interview of Democrat because of FCC threat Most VMware users still "actively reducing their VMware footprint," survey finds What happens to a car when the company behind its software goes under? RAM shortage hits Valve's four-year-old Steam Deck, now available "intermittently" Warner Bros. rejects Paramount again but asks for "best and final offer" There's a lot of big talk about sovereign launch—who is doing something about it? Here's the fun, action-packed trailer for Mandolorian and Grogu Ford is focusing on efficiency to make its 2027 $30,000 EV pickup affordable EU launches probe into xAI over sexualized images Scientists hunting mammoth fossils found whales 400 km inland Looks a lot like an electric station wagon: the 2026 Toyota bZ Woodland 99% of adults over 40 have shoulder "abnormalities" on an MRI, study finds Get ready for new Macs and iPads: Apple announces "Special Experience" on March 4 Best Buy worker used manager’s code to get 99% off MacBooks, cops say ByteDance backpedals after Seedance 2.0 turned Hollywood icons into AI “clip art” A fluid can store solar energy and then release it as heat months later Michigan antitrust lawsuit says oil companies hobbled EVs and renewables Sideways on the ice, in a supercar: Stability control is getting very goodSlashdot
NPR's Radio Host David Greene Says Google's NotebookLM Tool Stole His Voice Idea Raised For Nicer DRM Panic Screen Integration On Fedora Linux KDE Plasma 6.6 Released Most VMware Users Still 'Actively Reducing Their VMware Footprint,' Survey Finds US Lawyers Fire Up Privacy Class Action Accusing Lenovo of Bulk Data Transfers To China The Small English Town Swept Up in the Global AI Arms Race Microsoft's AI Chief Says All White-Collar Desk Work Will Be Automated Within 18 Months Britain Lost 14,000 Pubs, a Quarter, in 13 Years A YouTuber's $3M Movie Nearly Beat Disney's $40M Thriller at the Box Office Blind Listening Test Finds Audiophiles Unable To Distinguish Copper Cable From a Banana or Wet Mud Micron's PCIe 6.0 SSD Hits Mass Production at 28 GB/s 99% of Adults Over 40 Have Shoulder 'Abnormalities' on an MRI, Study Finds China Once Stole Foreign Ideas. Now It Wants To Protect Its Own Mazda Finally Admits Its Infotainment System Is the Worst 'Software Isn't Dead, But Its Cosy Business Model Might Be'Gizmodo
Does ‘Sorry’ Count When AI Writes It for You? Antarctica’s ‘Gravity Hole’ Has Been Quietly Growing Stronger There’s a New Term for Workers Freaking Out Over Being Replaced by AI Robert Duvall’s ‘Twilight Zone’ Episode Is Equal Parts Sweet and Strange Apple’s AI Pendant Sounds Like a Watered-Down Humane Ai Pin How ‘Magic: The Gathering’ Uses the TMNT to Show Off a New Side to Its Hottest New Plane: New York City Meta’s Holy Grail AR Smart Glasses Have One Big Puck-Shaped Problem One Line in ‘The Mandalorian and Grogu’ Trailer Really Has Our Hopes Up Bacteria Frozen Inside 5,000-Year-Old Ice Cave Is Crazy Resistant to Antibiotics Intermittent Fasting Doesn’t Budge the Scale, Major Review Finds Tesla Robotaxis Reportedly Crashing at a Rate That’s 4x Higher Than Humans 10 Genre Movies to Watch Before They Leave Netflix Ethereum Creator Starting to Think This Whole Prediction Market Thing Might be Gambling Unmasking the Secrets of the New ‘Mandalorian and Grogu’ Trailer Conspiracy Theorists Think Obama Is Sending Secret Messages With Talk About Aliens It’s Time to Admit Working in VR Has Been One Big Failure Could Water Be the Future of Space Propulsion? This Startup Thinks So ‘A Knight of the Seven Kingdoms’ Cast and Creator on Episode 5’s Shocking Demise Stephen Colbert Says CBS Bowed to FTC Pressure, Dropped Interview With Democrat Giant X-Rays Deliver the Sharpest View Yet of Fusion Plasma Gone HaywireSmithsonian Magazine
Scientists Once Thought This Snail Was Extinct. But a Surprising Discovery and Decade-Long Conservation Effort Revived the Species Lucian Freud Is Famous for His Unflinching Portraits. These Rarely Seen Drawings Provide an Intimate Window Into His Creative Process Jesse Jackson Witnessed Martin Luther King Jr.’s Assassination. Here’s How He Carried the Torch for the Civil Rights Movement Into the Future What Is Skimo? The Newest Olympic Sport Has a Long History in Europe Archaeologists Unearthed a 2,200-Year-Old Bone. They Say It Could Be the First Direct Evidence of Hannibal's Legendary War Elephants A Star Suddenly Brightened, Then Faded Into Darkness. Astronomers Say It May Have Turned Into a Black Hole How Often Do You Fart? This 'Smart Underwear' Can Keep Track, Because Figuring Out a Baseline Is Important for Science Bird Watchers Flock to Montreal to Catch a Glimpse of Canada's First Known European Robin These 12,000-Year-Old Scraps of Elk Hide May Be the World's Oldest Known Examples of Sewing 'Yankee Doodle' Was One of America's Earliest Protest Songs. But Its Origins Are Shrouded in MysteryInfoQ
Uber and OpenAI Retool Rate Limiting Systems Moonshot AI Releases Open-Weight Kimi K2.5 Model with Vision and Agent Swarm Capabilities Leapwork Research Shows Why AI in Testing Still Depends on Reliability, Not Just Innovation OpenAI Publishes Codex App Server Architecture for Unifying AI Agent Surfaces Does AI Make the Agile Manifesto Obsolete? Article: Proactive Autoscaling for Edge Applications in Kubernetes Chrome 144 Ships Temporal API: Advancing JavaScript Date/Time Standardisation GlassFish 8.0 Delivers Compatibility with Jakarta EE 11, Enhanced Security and Improved Data Access Presentation: The Ideal Micro-Frontends Platform Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments Podcast: [Video Podcast] Building Resilient Event-Driven Microservices in Financial Systems with Muzeeb Mohammad Article: Architecting Agentic MLOps: A Layered Protocol Strategy with A2A and MCP Google Explores Scaling Principles for Multi-agent Coordination Java News Roundup: JDK 26-RC1, Spring Framework, Open Liberty, EclipseStore, Gradle LocalStack for AWS Drops Community Edition Raising Developer ConcernsDynomight
Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourse Moral puzzles: Man vs. machine Please take my weird moral puzzles quiz Futarchy’s fundamental flaw Optimizing tea: An N=4 experiment My advice on (internet) writing, for what it’s worth DumPy: NumPy except it’s OK if you’re dum The Heat Mirage: My least-favorite internet maneuverMarginal Revolution
The fertility asymptote? Tuesday assorted links The Journal for AI Generated Papers Science should be machine-readable Rebuilding our world, with reference to strong AI “You see tech and AI everywhere but in the productivity statistics” Monday assorted links Minimum Wages for Gig Workers Can’t Work Malthus had real influence India’s AI wedding buffet At the Grand Egyptian Museum Sunday assorted links Natural and Artificial Ice The economics of corporate espionage Taxing Beta, Exempting Alpha: A Benchmark-Based Inheritance RegimeNot Boring
Weekly Dose of Optimism #180 Weekly Dose of Optimism #179 Raising a Special Little AI Weekly Dose of Optimism #178 Weekly Dose of Optimism #177 The Venezuela Opportunity 16 Lessons on Selling (and Life) from My 5-Year-Old Weekly Dose of Optimism #176 Many Small Steps for Robots, One Giant Leap for Mankind Weekly Dose of Optimism #175 a16z: The Power Brokers welcome to not boring world My 5 Favorite Not Boring Essays of 2025 Weekly Dose of Optimism #174 Weekly Dose of Optimism #173 Hardware is a Fruit Weekly Dose of Optimism #172 Cable Caballero Weekly Dose of Optimism #171 Weekly Dose of Optimism #170Coding Horror
Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up? There is no longer any such thing as Computer SecurityNASA Breaking News
Stormy, Snowy Winter for Hokkaido NASA Advances High-Altitude Traffic Management Crew-12 Launches NASA’s SpaceX Crew-12 Launches to International Space Station Sunlight Extracts Oxygen From Regolith Using Solar Chemistry Stonebreen’s Beating Heart NASA Selects Vast for Sixth Private Mission to Space Station NASA Moon Mission Spacesuit Nears Milestone Shimmering Light in Egg Nebula Reaching Top Speed in the DolomitesQuanta Magazine
A New Complexity Theory for the Quantum Age Are the Mysteries of Quantum Mechanics Beginning To Dissolve? Physicists Make Electrons Flow Like Water Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain Long-Sought Proof Tames Some of Math’s Unruliest EquationsScience Daily
Toxic metals found in bananas after Brazil mining disaster Ancient DNA solves 12,000-year-old mystery of rare genetic growth disorder Ultra-fast pulsar found near the Milky Way’s supermassive black hole Mysterious RNA led scientists to a hidden layer of cancer Majorana qubits decoded in quantum computing breakthrough Nearly 200,000 people reveal the real key to heart health Lab grown human spinal cord heals after injury in major breakthrough This new blood test could detect cancer before it shows up on scans The surprisingly simple flaw that can undermine quantum encryption Brain inflammation may be driving compulsive behavior One in three people carry this brain parasite but the body has a kill switch Scientists discover brain switches that clear Alzheimer’s plaques Ancient fingerprint found on 2,400-year-old Danish war boat Scientists discover the enzyme that lets cancer rapidly rewire its DNA Scientists confirm one-dimensional electron behavior in phosphorus chains Universe may end in a “big crunch,” new dark energy data suggests Massive magma surge sparked 28,000 Santorini earthquakes Large study finds no link between mRNA COVID vaccine in pregnancy and autism Stop eating 3 hours before bed to improve heart health AI uncovers the hidden genetic control centers driving Alzheimer’s Scientists found a way to plant ideas in dreams to boost creativity Brain inspired machines are better at math than expected This planet friendly diet could cut your risk of early death by 23% This breakthrough could finally unlock male birth control Psychedelics may work by shutting down reality and unlocking memory Couples who savor happy moments together have stronger, longer-lasting relationships The human exposome could change everything we know about disease Rocky planet discovered in outer orbit challenges planet formation theory Astronomers watch a massive star collapse into a black hole without a supernova Why some kids struggle with math even when they try hard Exercise may be one of the most powerful treatments for depression and anxiety Scientists used brain stimulation to make people more generous Roman mosaic in Britain reveals a 2,000 year old Trojan War secret Scientists discover hidden brain cells that help heal spinal cord injuries Omega-3 fish oil supplements could backfire without this key enzyme Microplastics have reached Antarctica’s only native insect This vegan diet cut insulin use by nearly 30% in type 1 diabetes Twin beams blast from a hidden star in stunning Hubble Space Telescope image Twisted 2D magnet creates skyrmions for ultra dense data storage Scientists make microplastics glow to see what they do inside your body New calcium-ion battery design delivers high performance without lithium The exact speed that makes an AI prosthetic arm feel like your own Scientists discover protein that rejuvenates aging brain cells Scientists discover hidden trigger behind achilles pain and tennis elbow 60,000 years ago humans were already using poisoned arrows Europe’s “untouched” wilderness was shaped by Neanderthals and hunter-gatherers Yellowstone wolves may not have transformed the national park after all Astronomers discover an Earth-like planet that may be colder than Mars NASA scientists say meteorites can’t explain mysterious organic compounds on Mars The worst coral bleaching event ever recorded damaged over 50% of reefs Massive study finds most statin side effects aren’t caused by the drugs Snowball Earth was not completely frozen, new study reveals Giving people cash didn’t cause more injuries or deaths Asteroid Bennu reveals a new pathway to life’s chemistry Radar evidence suggests a massive lava tube beneath Venus Scientists discover a hidden gut bacterium linked to good health Scientists find nerves actively fuel pancreatic cancer Changing when you eat dramatically reduced Crohn’s disease symptoms Life may have started as sticky goo clinging to rocks Interstellar comet 3I/ATLAS is spraying water across the solar systemSpaceflight Now
NASA to attempt second full fueling test of its Space Launch System rocket SpaceX launches predawn Starlink mission on President’s Day Replacement crew docks at space station, boosts crew back to seven SpaceX launches 600th Falcon 9 rocket to date with Starlink flight from Vandenberg ‘Very lucky day’: NASA, SpaceX ace astronaut launch to the space station on Friday the 13th NASA loading liquid hydrogen aboard Artemis 2 rocket in unannounced test Vulcan suffers solid rocket booster problem during USSF-87 launch ULA to launch geosynchronous orbit surveillance satellite for the U.S. Space Force SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB ULA sets sights on ramping up launch cadence in 2026Space Daily
China retrieves Long March 10 booster from South China Sea after test flight International crew arrives at space station Mars relay orbiter seen as backbone for future exploration Vietnam licenses Musk's satellite internet firm Starlink Assistive home robot learns coordinated dual arm tasks by watching people Smart Dragon 3 rocket sends seven satellites to orbit from sea platform Mexican Gxiba-1 CubeSat Starts Mission After Kibo Deployment SatService to supply Q V band satcom ground station for Bundeswehr university Valen array advances multi-mission sensing tech Sophie Adenot, the second French woman to fly to space Course correction needed quickly to avoid pathway to 'hothouse Earth' scenario, scientists say Photonic neurons push ultra-fast trading beyond electronic limits Satellite study revises methane loss high in Earth atmosphere When Earth's magnetic field took its time flipping New axis grid links complex earth data in space and timeSpace News
Simera Sense to offer larger cameras and enhanced autonomy China’s Space Epoch raises new funding, targets 2026 launch and recovery attempt SatVu to expand thermal imaging constellation with NATO-backed funds Global leaders meet at Space-Comm Expo in London to accelerate future of European space industry Artemis haters, can we have a moment, please? Sateliot to launch satellites with PLD Space Leonardo funding development of Earth observation constellation NASA work on several programs pending responses to White House executive order The space nuclear power bottleneck — and how to fix it Low-profile Chinese launch firm conducts first stage static fire Portions of the Pentagon’s LEO constellation on hold as acquisition reviews proceed Isaacman planning to meet with head of Roscosmos NASA continues SLS hydrogen leak tests A new book captures the forces shaping space: China, the moon and industry Senate committee advances FCC satellite licensing bill after changes Startup bets on new approach to space-based missile defense Crew-12 launches to ISS Vast wins ISS private astronaut mission China’s iSpace launch firm raises record $729 million for reusable rockets Space startups find more paths to liquidity as investors warm to maturing sector First Ariane 64 launches Amazon Leo satellites Axiom Space raises additional $350 million ThinKom gets military contract to supply portable ground stations for satellite communications It is time to take astronomy off EarthMartin Fowler
Bliki: Agentic Email Harness Engineering Fragments: February 13 Fragments: February 9 Context Engineering for Coding Agents Fragments: February 4 Bliki: Excessive Bold Assessing internal quality while coding with an agent Fragments: January 22 Conversation: LLMs and the what/how loop Stop Picking Sides: Manage the Tension Between Adaptation and Optimization My favorite musical discoveries of 2025 Fragments: January 8 Fragments: December 16 Writing Fragments Fragments Dec 11 Fragments Dec 4 Fragments Nov 19 My Foreword to "Frictionless" The Learning Loop and LLMs Fragments Nov 3 Agentic AI and Security Fragments and Links Understanding Spec-Driven-Development: Kiro, spec-kit, and Tessl Anchoring AI to a reference application To vibe or not to vibe Some thoughts on LLMs and Software Development From Black Box to Blueprint Research, Review, Rebuild: Intelligent Modernisation with MCP and Strategic Prompting Building your own CLI Coding Agent with Pydantic-AIEmbedded Artistry
Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New Device The Simple Fixes on the Quest for Improved Performance Schrödinger’s Meeting Building a Simplified CLI Using Invoke (for Monorepo Management) Replacing find Shell Commands with Python Q&A: What Pieces of the OTA Update Pipeline Should You Front Load?Attack Magazine
UK Electronic Music Generates £2.47bn as Venues Continue to Close Fourth Industry Report Finds To the MAX: How Cherry Audio Turned the Roland SH-5 Into a Soft Synth Butch – “Creativity Comes From Working, Not Waiting” You Can Now Build Your Own Plugins Without C++ Knowledge NOT BAD FOR A GIRL Issues Open Letter on Line-Up Inequality FabFilter Pro-C 3: The Most Fun You Can Have With A Compressor Liquid Hoover Bass Novation Launch Control XL 3 Native Instruments Enters Preliminary Insolvency Proceedings Best of NAMM 2026 for Electronic Music ProducersDJ 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