AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchMore Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding
arXiv:2610.04753v2 Announce Type: replace-cross Abstract: Autoregressive generation in Large Language Models (LLMs) is constrained by the memory and computational demands of attention mechanisms. Sparse attention methods…
- arXiv cs.AIresearchEasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program
arXiv:2610.04758v1 Announce Type: cross Abstract: Machine-learning classification is now used across medicine, the social sciences, economics, education and engineering, very often by researchers who do not program. Two…
- arXiv cs.AIagentsARISE: Adaptive Agentic Reasoning with Image-grounded Self-Evaluation for Interpretable IBD Assessment
arXiv:2610.04777v1 Announce Type: cross Abstract: Inflammatory bowel disease (IBD) requires frequent imaging-based assessment, yet interpretation of modalities such as wireless capsule endoscopy (WCE) and intestinal ultr…
- arXiv cs.AIresearchActive-DiNTS: Active Differentiable Network Topology Search
arXiv:2610.04787v1 Announce Type: cross Abstract: Neural Architecture Search (NAS) has proved to be a strong alternative to manual network design, but applying it to 3D medical image segmentation is limited by two well-k…
- arXiv cs.AIagentsSeparating Decision Time from Decision Quality in the Real-Time Gap of Distilled Deciders: Evidence from a Game and a Conveyor Simulator
arXiv:2610.04810v1 Announce Type: cross Abstract: Real-time agents are often evaluated with the world paused, or with decision time rounded to whole ticks (tick conversion). Tick conversion predicts almost no loss for a…
- arXiv cs.AIagentsViva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search
arXiv:2610.04829v1 Announce Type: cross Abstract: When an agentic prover works on an open problem, there is no proof assistant to fall back on: its verifier and lemma library are ultimately language models judging model…
- arXiv cs.AIresearchCluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
arXiv:2610.04830v1 Announce Type: cross Abstract: Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels. However, the commonly used approaches are computationally expensi…
- arXiv cs.AIresearchPIT-GCL: Protein Interaction using Topological Graph Contrastive Learning
arXiv:2610.04850v3 Announce Type: replace-cross Abstract: Protein binding prediction is central to target identification, therapeutic binder design, and large scale screening, yet remains challenging because binding depe…
- arXiv cs.AIresearchInvisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate
arXiv:2610.04860v1 Announce Type: cross Abstract: Text watermarking helps identify AI-generated content, but its effect on factual reliability remains underexplored. In this paper, we study watermarking hallucination: fa…
- arXiv cs.AIresearchEnhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning
arXiv:2610.04864v1 Announce Type: cross Abstract: Long-video embedding requires capturing sparse query-relevant evidence under a limited visual-token budget. Uniform sampling can miss brief events in videos spanning minu…
- arXiv cs.AIresearchGreedy Local Learning for Language Model Pretraining: Gaps and Objective Design
arXiv:2610.04867v2 Announce Type: replace-cross Abstract: Greedy block-wise local learning splits a network into gradient-isolated blocks trained by local auxiliary losses, deleting the backward pass between blocks: inte…
- arXiv cs.AIresearchResOPD: Tail Residualization for Sparse On-Policy Distillation
arXiv:2610.04882v1 Announce Type: cross Abstract: On-policy distillation (OPD) trains a student model on self-generated trajectories, but transmitting dense teacher distributions across long reasoning traces creates proh…
- arXiv cs.AIresearchSFlexRCA: Lightweight, Scalable, and Flexible Root Cause Analysis for IIoT Edge Systems
arXiv:2610.04893v1 Announce Type: cross Abstract: Industrial Internet of Things (IIoT) systems generate high-dimensional sensor telemetry from interconnected components, where faults can propagate across the system. To a…
- arXiv cs.AIresearchA Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese
arXiv:2610.04898v2 Announce Type: replace-cross Abstract: This study analyzes the predictive power of LM-derived, token-level surprisal on Mandarin Chinese reading times. We first propose the Shortest Matching Sequence (…
- arXiv cs.AIresearchScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
arXiv:2610.04905v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are a central tool in mechanistic interpretability. However, existing SAEs are primarily trained per layer. The modeling subspace is therefore…
- arXiv cs.AIagentsScaling Verifiable Environments for Long-horizon Work Agents
arXiv:2610.04906v5 Announce Type: replace-cross Abstract: Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long-horizon interaction…
- arXiv cs.AIresearchWhy Subliminal Learning Needs So Much Data: A Noisy Inverse View through Steering Vector Recovery
arXiv:2610.04907v1 Announce Type: cross Abstract: Subliminal learning lets a student inherit a teacher's behavioral trait from semantically unrelated data, yet published demonstrations typically require tens of thousands…
- arXiv cs.AIagentsPreAct-Nav: Agentic Reasoning Before Action for Urban Navigation
arXiv:2610.04916v1 Announce Type: cross Abstract: Urban navigation requires embodied agents to pursue long-horizon goals through local decisions based on egocentric observations. However, existing agentic navigation meth…
- arXiv cs.AIagentsComplex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild
arXiv:2610.04921v1 Announce Type: cross Abstract: LLM-based agentic systems are emerging as a new software paradigm. Modern agents are typically composed of backbone LLMs and a surrounding harness that serves as the oper…
- arXiv cs.AIresearchTSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models
arXiv:2610.04925v1 Announce Type: cross Abstract: Time-series forecasting informs critical decisions in energy dispatch, industrial operations, and environmental monitoring; understanding the patterns models rely on is e…
- arXiv cs.AIagentsAssembling Insights for Agentic Machine Learning Engineering Systems
arXiv:2610.04927v1 Announce Type: cross Abstract: Agentic machine learning engineering (MLE) is an emerging AI4SE application for complex ML tasks and a step toward recursive self-improvement of AI systems. Recent agenti…
- arXiv cs.AIresearchDiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling
arXiv:2610.04933v2 Announce Type: replace-cross Abstract: Scaling robot data and model capacity has improved Vision-Language-Action (VLA) policies, but further progress is constrained by the high cost of robotic data. Ve…
- arXiv cs.AIresearchD-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform
arXiv:2610.04938v2 Announce Type: replace-cross Abstract: We propose D-DOIT (Discrete Doob-Oriented Inference-time Transformation), a training-free and efficient adaptation method for discrete diffusion models with gener…
- arXiv cs.AIresearchA Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs
arXiv:2610.04939v1 Announce Type: cross Abstract: We ask whether physically meaningful correspondences discovered inside a trained scientific model remain meaningful outside the conditions under which they were discovere…
- arXiv cs.AIagentsSoftware World Models: From Consequence Prediction to Decision Value
arXiv:2610.04940v1 Announce Type: cross Abstract: A coding agent may safely modify one repository while silently breaking downstream services, libraries, or datastores that depend on it. Exhaustively running integration…
- arXiv cs.AIresearchTempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions
arXiv:2610.04945v2 Announce Type: replace-cross Abstract: Destructive single-cell measurements provide unpaired population snapshots rather than observations of the same cells across conditions. Local cell states and tra…
- arXiv cs.AIresearchA Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim
arXiv:2610.04949v1 Announce Type: cross Abstract: Reinforcement learning controllers for underwater vehicles are usually trained against one physics representation and deployed against another, so reported performance do…
- arXiv cs.AIresearchEDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization
arXiv:2610.04953v2 Announce Type: replace-cross Abstract: Euclidean combinatorial optimization problems (ECOPs), such as the Traveling Salesman Problem (TSP) and Capacitated Vehicle Routing Problem (CVRP), possess inhere…
- arXiv cs.AIresearchKapture: Capturing Cardiac Dynamics with Koopman-Governed Learning for Efficient Radar-Based Electrocardiogram Recovery
arXiv:2610.04955v1 Announce Type: cross Abstract: Millimeter-wave (mmWave) radar enables unobtrusive, contactless electrocardiogram (ECG) reconstruction for cardiac monitoring. Time-frequency spectrograms preserve fine c…
- arXiv cs.AIresearchTeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry
arXiv:2610.04981v1 Announce Type: cross Abstract: Large language models can generate runnable web applications from natural-language requirements, but many generated applications still fail interactive tasks. Existing ge…
- arXiv cs.AIresearchHidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use
arXiv:2610.04985v1 Announce Type: cross Abstract: Jev turns natural-language questions into typed answers and probabilities with low latency and cost, enabling applications to route requests and select tools. While this…
- arXiv cs.AIresearchOperational Abstractions of Neural Network Concepts via Topological Representations
arXiv:2610.05017v1 Announce Type: cross Abstract: Concept-based methods provide a semantic level for interpreting and manipulating learned representations, but existing editing approaches are typically specialized to par…
- arXiv cs.AIagentsSparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing
arXiv:2610.05037v1 Announce Type: cross Abstract: Sparse-accelerator design spaces are usually searched against analytical models, so a design point is admitted on what a model predicts rather than on what the hardware d…
- arXiv cs.AIresearchCommunication Shapes Collective Inference in Self-Adapting LLM Societies: Evidence from Mafia
arXiv:2610.05041v1 Announce Type: cross Abstract: When does communication help a group identify hidden adversaries, and how does its value change as the group adapts? In Mafia, an informed minority hides inside an uninfo…
- arXiv cs.AIresearchAraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech
arXiv:2610.05044v1 Announce Type: cross Abstract: State-of-the-art ASR systems primarily target native adult speech, leading to substantial performance gaps for children, adolescents, and L2 speakers. We introduce AraYou…
- arXiv cs.AIresearchE$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation
arXiv:2610.05048v5 Announce Type: replace-cross Abstract: On-policy self-distillation (OPSD) provides dense token-level supervision without a second model: one network acts as teacher with the reference solution and as s…
- arXiv cs.AIresearchLogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models
arXiv:2610.05051v1 Announce Type: cross Abstract: Time-series data are often sampled irregularly at high frequencies and exhibit long-range dependencies, which makes long-horizon modelling difficult. Continuous-time mode…
- arXiv cs.AIresearchDiscrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs
arXiv:2610.05071v1 Announce Type: cross Abstract: Learning population dynamics from unpaired temporal marginals is an ill-posed inverse problem that requires structural assumptions on the underlying dynamics. We introduc…
- arXiv cs.AIresearchSelf-Generated Feedback Destabilizes Test-Time Training: A Causal Decomposition of Long-Horizon Adaptation
arXiv:2610.05076v1 Announce Type: cross Abstract: Test-time training (TTT) lets a model store information in its weights during inference. When the model learns from its own output, however, each update also changes the…
- arXiv cs.AIresearchTracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech
arXiv:2610.05080v1 Announce Type: cross Abstract: LLM-based text-to-speech (TTS) models can generate emotionally expressive speech, but how reference emotion is routed through the model and realized in decoded speech rem…
- arXiv cs.AIresearchDirection-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
arXiv:2610.05087v1 Announce Type: cross Abstract: Contrastive Reinforcement Learning (CRL) learns representations that estimate goal reachability, yet its policy remains conditioned on raw goals and therefore does not di…
- arXiv cs.AIresearchReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory
arXiv:2610.05097v1 Announce Type: cross Abstract: As multimodal large language models (MLLMs) reason for longer, attention to the initial visual input diminishes, weakening visual grounding. Visual memory reintroduces vi…
- arXiv cs.AIresearchVulValidate: Auditing Function-Level Vulnerability Labels with Executable Evidence
arXiv:2610.05103v1 Announce Type: cross Abstract: Reliable learning-based vulnerability detection requires high-quality labels, yet datasets built from vulnerability-fixing commits may label functions as vulnerable simpl…
- arXiv cs.AIresearchBest-of-$N$ Guidance for Test-time Diffusion Alignment
arXiv:2610.05108v2 Announce Type: replace-cross Abstract: Diffusion models achieve strong generative performance but often struggle to align generated samples with human preferences measured by a reward model. A simple y…
- arXiv cs.AIresearchBayesian Entropy-based Reordering for Calibrated Diffusion Language Models
arXiv:2610.05125v1 Announce Type: cross Abstract: Masked Diffusion Language Models (MDLMs) generate sequences by iteratively replacing masked tokens with model predictions. At each denoising step, the decoder chooses whi…
- arXiv cs.AIresearchHow Does Geometry Enter Generated Motion?
arXiv:2610.05135v1 Announce Type: cross Abstract: Under a fixed physical law, the visible geometry of a scene determines how motion must change. We ask how video generators realize this relationship. We fix the law and t…
- arXiv cs.AIresearchCross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology
arXiv:2610.05157v1 Announce Type: cross Abstract: Gastric Adenocarcinoma is a leading cause of cancer mortality. Although "Inflamed/Non-Inflamed" subtypes have been proposed to predict immunotherapy response, their ident…
- arXiv cs.AIagentsBlocking at the Boundary: Auditing Long-Horizon Agents against Staged Prompt Injection
arXiv:2610.05163v1 Announce Type: cross Abstract: Long-horizon agents consume external content, invoke tools, and modify persistent state. Indirect prompt injection can exploit task-specific context, propagate across cau…
- arXiv cs.AIresearchSame Predictions, Different Harms: Causal Auditing of Patient World Models
arXiv:2610.05198v1 Announce Type: cross Abstract: Patient world models used for clinical trial simulation can agree on transition kernels and arm-specific risks, yet disagree on the fraction of patients harmed by switchi…
- arXiv cs.AIresearchVela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization
arXiv:2610.05230v1 Announce Type: cross Abstract: Most vision-language-action models represent future motion as fixed-rate action chunks, tying temporal resolution and prediction horizon to a fixed output budget. This po…