AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchSOMA: A Benchmark for Fine-Grained Egocentric Behavior and Body-Motion Understanding
arXiv:2610.36384v1 Announce Type: cross Abstract: Perceiving human body motion is critical for multimodal systems that understand and assist people. Yet current evaluations of Multimodal Large Language Models (MLLMs) lar…
- arXiv cs.AIresearchExpert lithological labels do not improve learning when used to predict marine sediment properties
arXiv:2610.36410v2 Announce Type: replace-cross Abstract: Scientific drilling has produced large archives of physical, chemical and magnetic measurements linked to descriptions of the rock recovered. These archives are m…
- arXiv cs.AIresearchRepulsive Population Policy Gradients for Behaviorally Diverse Reinforcement Learning
arXiv:2610.36425v1 Announce Type: cross Abstract: The goal of Quality-Diversity Reinforcement Learning (QD-RL) is to find a population of high-performing policies that solve a decision-making problem in diverse ways. Des…
- arXiv cs.AIresearchLociArt: A Unified Paradigm for Free-Style Local Video Stylization
arXiv:2610.36456v1 Announce Type: cross Abstract: Video stylization typically transforms entire scenes, while local artistic editing requires precise region--style association, spatial control, and temporal consistency.…
- arXiv cs.AIresearchFull Collapse Is Suboptimal: Controlled Partial Neural Collapse for Long-Tailed Recognition
arXiv:2610.36460v1 Announce Type: cross Abstract: Recent long-tailed recognition (LTR) methods incorporate neural collapse (NC) and align features to a fixed Equiangular Tight Frame (ETF) as a uniform target for all clas…
- arXiv cs.AIagentsFIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents
arXiv:2610.36476v1 Announce Type: cross Abstract: Sequential trading agents produce decisions, orders, execution receipts, account states, and reports that need not agree, even when the final portfolio value is correctly…
- arXiv cs.AIresearchProposing Better Rollouts for On-Policy Distillation
arXiv:2610.36477v2 Announce Type: replace-cross Abstract: On-policy distillation (OPD) improves language-model post-training by letting the student learn from its own sampled trajectories under teacher supervision, align…
- arXiv cs.AIresearchProCerDCL: Query-Efficient Black-Box Probabilistic Verification of Deep Learning Compiler Optimization
arXiv:2610.36499v1 Announce Type: cross Abstract: We present \tool, a query-efficient framework for black-box probabilistic verification. Given a fixed, sampleable input distribution and a binary property oracle, \tool a…
- arXiv cs.AIresearchDo AI Scientists Know What's New?
arXiv:2610.36511v1 Announce Type: cross Abstract: A major challenge facing AI scientific discovery pipelines is how to determine when a generated idea is meaningfully novel. Ideally, novelty checks in these pipelines mus…
- arXiv cs.AIagentsRoboAuto: Autonomous Robot Program Search through Multi-Level Physical Understanding
arXiv:2610.36533v1 Announce Type: cross Abstract: Recently, LLM-based autonomous agents have shown strong capabilities in iteratively generating, evaluating, and refining executable solutions. In robotic manipulation, Co…
- arXiv cs.AIresearchFrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation
arXiv:2610.36545v1 Announce Type: cross Abstract: Unified conditional image generation requires a single model to preserve different aspects of a visual input while producing a target image that follows textual guidance.…
- arXiv cs.AIresearchREACH: An RL-based Hierarchical Humanoid Crawling Framework for Adaptable Confined Space Traversal
arXiv:2610.36546v1 Announce Type: cross Abstract: Humanoid locomotion in confined spaces requires continuous height adaptation across multiple locomotion modes, yet most existing approaches remain limited to height-adjus…
- arXiv cs.AIagentsNextEval: An Agent-Based Solver and Benchmark for Derivative-Free Optimization
arXiv:2610.36553v1 Announce Type: cross Abstract: Derivative-free optimization (DFO) addresses problems where derivatives are unavailable or costly to obtain. This setting often arises in simulation-based and experimenta…
- arXiv cs.AIresearchLess is more: learning what to profile for GPU kernel optimization
arXiv:2610.36576v1 Announce Type: cross Abstract: Large language models have recently shown strong potential for automatically optimizing GPU kernels, yet their effectiveness depends critically on the hardware informatio…
- arXiv cs.AIresearchMM-Net: A Multimodal Multi-Task Network for Sleep Staging and Sleep Apnea Assessment After Ischemic Stroke
arXiv:2610.36583v1 Announce Type: cross Abstract: Automated polysomnography after ischemic stroke is challenging because of altered sleep-related neural activity and concurrent respiratory disturbances. Existing stroke-s…
- arXiv cs.AIagentsBenchmarking LLM Agents for Behaviorally Adequate Test Generation from Software Requirements
arXiv:2610.36584v1 Announce Type: cross Abstract: As large language model agents increasingly compile natural-language requirements into repository-level code, requirement-to-test generation grows in importance to provid…
- arXiv cs.AIresearchBalanced State Subspaces for Mamba-2 State Compression
arXiv:2610.36617v1 Announce Type: cross Abstract: Mamba-2 compresses all context into a fixed-size recurrent state that dominates decoding memory and bandwidth. Existing compressors quantize state values or prune state c…
- arXiv cs.AIresearchDream-COP: Guiding Algorithm Discovery for Combinatorial Optimization Problems in an Experience World
arXiv:2610.36618v1 Announce Type: cross Abstract: Large language models (LLMs) enable algorithm discovery for combinatorial optimization problems (COPs) through iterative program generation and evaluation. A central chal…
- arXiv cs.AIresearchAdapting Video Models for Robot Control via Motion-guided Asymmetric Prediction
arXiv:2610.36624v1 Announce Type: cross Abstract: World Action Models (WAMs) leverage pretrained video generative models for robotic control by jointly predicting future visual observations and actions. The visual predic…
- arXiv cs.AIresearchTap2Listen: Instant Target Switching for Streaming Audio-Visual Speaker Extraction
arXiv:2610.36643v1 Announce Type: cross Abstract: Streaming audio-visual target speaker extraction (AV-TSE) uses a target speaker's face to extract the speaker's speech from an input audio mixture in real time. However,…
- arXiv cs.AIresearchA Quantitative Approach to Asch Conformity in Frontier Large Language Models
arXiv:2610.36668v1 Announce Type: cross Abstract: The Asch conformity experiment has recently gained considerable attention as a way of measuring conformity in large language models (LLMs). While previous studies have fo…
- arXiv cs.AIresearchLook Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs
arXiv:2610.36671v1 Announce Type: cross Abstract: Diffusion vision-language models (DVLMs) process their entire input at every denoising step. Since visual tokens make up 89-97% of this input on the benchmarks we study,…
- arXiv cs.AIagentsAtom as an Agent: Emergent Order by Collective Predictive Coding
arXiv:2610.36673v1 Announce Type: cross Abstract: What is the intrinsic reason of emergence of macroscopic order parameter out of microscopic systems? In this article, we apply to physics the collective predictive coding…
- arXiv cs.AIresearchSpecialization, Diversity, and Scaling in Child-Scale Language Models
arXiv:2610.36679v1 Announce Type: cross Abstract: Modern language models are trained on far more language than children experience, but we know much less about learning from small, naturalistic datasets. We train small G…
- arXiv cs.AIresearchTOPS: Reshaping Flow Source and Transport for Multi-Task Robot Manipulation
arXiv:2610.36694v1 Announce Type: cross Abstract: Flow-based policies for language-conditioned multi-task manipulation commonly share a single $\textit{Gaussian}$ source prior and a common linear transport path across ta…
- arXiv cs.AIresearchHeteGCD: Statistics-Aware Dual-Prototype Learning for Generalized Category Discovery on Heterophilous Graphs
arXiv:2610.36696v1 Announce Type: cross Abstract: Heterophilous graphs are prevalent in real-world applications, where connected nodes often exhibit dissimilar attributes or belong to different classes, posing significan…
- arXiv cs.AIresearchConservative Dueling Bandits: Preference Learning under Baseline Constraints
arXiv:2610.36708v1 Announce Type: cross Abstract: Contextual dueling bandits learn from pairwise comparisons, the same feedback used to fine-tune language models from human preferences. Standard algorithms explore aggres…
- arXiv cs.AIagentsFrom Voiceprints to User Entities: Online Speaker-Memory Construction for Multi-User Spoken Agents
arXiv:2610.36713v1 Announce Type: cross Abstract: Personalized spoken agents must identify speakers before accessing user-specific memory, yet memory benchmarks typically assume correctly attributed histories. We argue t…
- arXiv cs.AIresearchGenerative Refinement Learning for Temporal Interpolation in Scientific Machine Learning
arXiv:2610.36751v1 Announce Type: cross Abstract: Computationally expensive simulations and real-world observations often provide data at a lower temporal resolution than downstream tasks require. Averaging observations…
- arXiv cs.AIresearchRobust LLM Data Selection via Content-Invariant Gradient Attribution
arXiv:2610.36755v1 Announce Type: cross Abstract: Gradient-based data attribution has become an important tool for high-quality data selection in the instruction fine-tuning of large language models (LLMs), as it estimat…
- arXiv cs.AIresearchMaking Self-Driving Laboratories Auditable:A Unified Framework for Hybrid Actions,Measurements, and Safe Execution
arXiv:2610.36761v1 Announce Type: cross Abstract: Self-driving laboratories (SDLs) are laboratory systems that couple experimental planning, automated execution, and measurement feedback in a closed loop. Integrating fle…
- arXiv cs.AIresearchThe Vocabulary Is Already Here: Adapting Pretrained Interpretable Features for Generative Recommendation
arXiv:2610.36763v1 Announce Type: cross Abstract: Generative recommendation (GR) predicts the next item through its semantic ID (SID). Existing methods commonly fit SID vocabularies to pretrained language model (PLM) rep…
- arXiv cs.AIresearchSelect-TTT: Query-Conditioned Selective Fast Weight Updates for In-Place Test-Time Training
arXiv:2610.36794v1 Announce Type: cross Abstract: Test-time training (TTT) enables a deployed language model to internalize incoming context on-the-fly into a small set of fast-weight parameters, rather than merely treat…
- arXiv cs.AIresearchAn Algebra of Transformers
arXiv:2610.36795v1 Announce Type: cross Abstract: On the theoretic analyses on transforms, they mainly focus on the computability analysis, such the Turing-completeness of unbounded precision transformers, the advantage…
- arXiv cs.AIresearchSetGRPO: Calibrating Grader-Induced Policy Optimization
arXiv:2610.36807v1 Announce Type: cross Abstract: Rubric-based reinforcement learning uses fine-grained grader feedback to train large language models on open-ended tasks, but grader randomness can alter GRPO updates in…
- arXiv cs.AIresearchTAPESTRY: A Single Backbone for Video Generation and Robot Control
arXiv:2610.36823v1 Announce Type: cross Abstract: Pretrained video generation models encode rich priors about physical interactions, but leveraging them for robot control typically requires either resource-intensive vide…
- arXiv cs.AIresearchWhen All Rollouts Fail: Policy-Compatible Joint Decoding for Hard-Problem Reasoning
arXiv:2610.36849v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) derives its learning signal from binary rewards via on-policy exploration and becomes a powerful paradigm for improv…
- arXiv cs.AIresearchActiveAlign: Aligning Egocentric Manipulation via Active Perception
arXiv:2610.36859v1 Announce Type: cross Abstract: Real-to-Sim-to-Real (Real2Sim2Real) enables structured world representations for planning, interpretability, and safe execution. Most existing approaches rely on passive…
- arXiv cs.AIresearchAdaGround: Token-Normalized Adaptive Zooming with Verifier-in-the-Loop Refinement for GUI Grounding
arXiv:2610.36874v1 Announce Type: cross Abstract: GUI grounding on high-resolution screens fails mostly on small targets, and zooming in is a common training-free remedy. However, most existing zooming pipelines do not m…
- arXiv cs.AIresearchDeveloping a Speech Language Model for Basque
arXiv:2610.36911v1 Announce Type: cross Abstract: Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace. This work presents the first ope…
- arXiv cs.AIagentsBeyond QASecClaw: Agent Scaling, Verifier Feedback, and Evidence Reliability in Software Assurance
arXiv:2610.36947v1 Announce Type: cross Abstract: Can additional specialist language-model contexts improve software assurance when deterministic tool evidence is already available? We study this question through five ex…
- arXiv cs.AIresearchSelf-Keyed In-Parameter Memorization for External Memory-Free Dialogue Recall in Frozen Language Models
arXiv:2610.36948v1 Announce Type: cross Abstract: A large language model maintains conversational content in an external storage that is outside the model and grows as the dialogue continues. This work assumes an environ…
- arXiv cs.AIresearchDCKV: Learned Transform Coding of the Prompt KV Cache in Hybrid Language Models
arXiv:2610.36950v1 Announce Type: cross Abstract: Hybrid language models keep a key-value (KV) cache only in their few full-attention layers, but this cache is still the part of a prompt's state that grows with the promp…
- arXiv cs.AIresearchDense Representation Learning and Differentiable Shape Modeling for Spine Landmark Detection
arXiv:2610.36951v1 Announce Type: cross Abstract: Spine landmark detection from spinal X-ray is a key step for estimating spine deformation severity, for building biomechanical models, and for pre-operative planning. We…
- arXiv cs.AIresearchPailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search
arXiv:2610.36958v1 Announce Type: cross Abstract: Generative retrieval models have been increasingly adopted in search and recommendation systems. However, industrial generative retrieval models are commonly specialized…
- arXiv cs.AIresearchAdvancement or Acceleration? How Data Curation Improves LLM Training
arXiv:2610.36983v1 Announce Type: cross Abstract: While data curation is widely credited with improving large language model training, a basic question remains unresolved: does curation expand what a model can ultimately…
- arXiv cs.AIresearchLearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models
arXiv:2610.36986v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have demonstrated remarkable multimodal capabilities but suffer from prohibitive computational overhead due to the massive number of visual…
- arXiv cs.AIresearchEvaluating Priority Dispatch for Premium Membership in On-demand Taxi-sharing
arXiv:2610.37011v1 Announce Type: cross Abstract: In this paper, we analyze the dispatch-level feasibility of introducing premium membership into an on-demand taxi-sharing service using a sequential optimal insertion met…
- arXiv cs.AIresearchV-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
arXiv:2610.37019v1 Announce Type: cross Abstract: Embedding-level scaling expands the capacity of language models through lookup-based memory rather than by increasing model depth, width, or dense computation. Extending…
- arXiv cs.AIresearchCrop Yield Prediction Using Regression Models: A Comparative Evaluation of Model Performance
arXiv:2610.37022v1 Announce Type: cross Abstract: Reliable crop-yield prediction can support agricultural planning and resource allocation. This study evaluates five regression models for predicting crop yield from envir…