AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchReliable Self-Evolution with Imperfect Proxy Rewards
arXiv:2610.02975v1 Announce Type: new Abstract: Large language model (LLM)-based self-evolving search is a promising approach to scientific discovery. However, high-fidelity evaluation of every candidate is prohibitively…
- arXiv cs.AIresearchRelevant Evidence Decoding for Audio-Visual Hallucination Mitigation
arXiv:2610.02976v1 Announce Type: new Abstract: Audio-Visual Large Language Models (AV-LLMs) remain prone to cross-modal hallucinations, where one modality incorrectly affects predictions about another. Although contrast…
- arXiv cs.AIresearchRASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction
arXiv:2610.02979v1 Announce Type: new Abstract: Unstructured discharge notes in Electronic Health Records (EHRs) often carry signal complementary to structured medical codes, holding patient-specific evidence that standa…
- arXiv cs.AIresearchSafeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
arXiv:2610.02981v1 Announce Type: new Abstract: Source-Free Domain Adaptation (SFDA) aims to adapt a source-pretrained model to an unlabeled target domain without access to the original source domain. While early single-…
- arXiv cs.AIresearchPLCWorld: Benchmarking LLM-Generated PLC Programs in Closed-Loop Plant Simulation
arXiv:2610.02982v1 Announce Type: new Abstract: Programmable logic controllers (PLCs) coordinate industrial equipment by reading sensor inputs and issuing control commands. Evaluating whether large language model (LLM)-g…
- arXiv cs.AIresearchPersonalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations
arXiv:2610.03017v1 Announce Type: new Abstract: This work presents an automatic speech recognition (ASR) system personalized for a Czech speaker with a permanent tracheal stoma and severe dysarthria rendering their speec…
- arXiv cs.AIagentsDyadMem: A Long-Term Memory Benchmark of How Agents Work with Users
arXiv:2610.03020v1 Announce Type: new Abstract: Long-term agents must remember not only what is true about a user, but also how a particular agent should work with that user as their shared history evolves. Existing benc…
- arXiv cs.AIresearchVerifiable, Articulable, and Tacit Components of Preference
arXiv:2610.03025v2 Announce Type: replace Abstract: What makes a short story gripping; a news article newsworthy; or a math proof elegant? These constructs resist articulation or verification; their meaning is at least p…
- arXiv cs.AIresearchSoftGene: Protein Language Model-Enhanced Soft Prompting for Interpretable Gene Set Annotation
arXiv:2610.03029v1 Announce Type: new Abstract: Gene set analysis is a cornerstone of functional genomics, yet it remains labor-intensive and heavily dependent on manual curation and expert biological interpretation. Whi…
- arXiv cs.AIagentsWhen Numbers Start Talking: Numerical Signalling and Strategic Behaviour Among LLMs
arXiv:2610.03033v1 Announce Type: new Abstract: Large language model (LLM)-based agents increasingly operate in multi-agent systems (MAS) characterised by strategic interaction. However, little is known about whether, an…
- arXiv cs.AIagentshacktrace: behavior-supervised detection of reward hacking during code generation
arXiv:2610.03055v1 Announce Type: new Abstract: A coding agent can earn a passing grade by fixing its code, or by deleting the test that exposes the bug. Detecting such reward hacking requires recognizing attempted short…
- arXiv cs.AIagentsMOF-VERIFY: A Failure-Aware Agentic Harness for MOF Hypothesis Verification
arXiv:2610.03056v1 Announce Type: new Abstract: Large language models are increasingly used as reasoning components in AI-driven materials Co-Scientists, yet the reliability of the resulting verification pipeline remains…
- arXiv cs.AIresearchRIFAR: Reliability-Informed and Forgetting-Aware Replay for Continual Robot Learning with World-Action Models
arXiv:2610.03079v3 Announce Type: replace Abstract: Genuine embodied agency requires robots to turn continuous real-world experience into lasting, transferable skills. This demands continual learning that integrates new…
- arXiv cs.AIagentsPeer Influence across Heterogeneous AI Models
arXiv:2610.03095v1 Announce Type: new Abstract: When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which…
- arXiv cs.AIresearchPredictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression
arXiv:2610.03098v2 Announce Type: replace Abstract: Codon optimization, the process of selecting synonymous codons to improve mRNA translation efficiency and protein expression, is central to therapeutic protein producti…
- arXiv cs.AIresearchTrading Strategy Optimization via Textual Gradient
arXiv:2610.03128v2 Announce Type: replace Abstract: Quantitative trading strategy design aims to discover trading programs from historical data that remain effective in future markets, which can be viewed as a black-box…
- arXiv cs.AIresearchKeeping JEPA World Models Plannable When Little of the Frame Moves
arXiv:2610.03137v1 Announce Type: new Abstract: Specifying a goal in language rather than as a goal frame is a natural interface for planning with a latent world model, but testing it needs scenes in which language must…
- arXiv cs.AIresearchGains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective
arXiv:2610.03185v1 Announce Type: new Abstract: On-policy distillation (OPD) has become an important approach to language model post-training. However, despite its performance gains, OPD can also collapse into excessivel…
- arXiv cs.AIresearchKV$^2$: A Self-Refining KV Cache
arXiv:2610.03198v2 Announce Type: replace Abstract: The memory footprint of the key-value (KV) cache constrains the practical use of long-context models, and it dominates cost when one prefilled context must later serve…
- arXiv cs.AIagentsToward SLM-based agentic task-tool intent matching
arXiv:2610.03213v1 Announce Type: new Abstract: Tool-equipped AI agents use tool calls to access data and act on external systems. Horizontal growth of agentic systems increases the number of these interactions, and furt…
- arXiv cs.AIresearchLearning a Fact Is Not Learning How to Retrieve It
arXiv:2610.03251v2 Announce Type: replace Abstract: A model trained on "The capital of X is Y" may produce "Y" after "The capital of X is" but fail after "The capital of X:." We call these different ways of eliciting the…
- arXiv cs.AIresearchEVOL: Simulator-Guided Evolutionary Expert Synthesis for Deployment-Free Learning Path Recommendation
arXiv:2610.03273v1 Announce Type: new Abstract: Reinforcement learning (RL) for learning path recommendation (LPR) faces two coupled obstacles. First, the policy must commit to a sequence of L concepts without intermedia…
- arXiv cs.AIresearchJOVE: Joint Execution and Verification for Resource-Aware LLM Task Graphs
arXiv:2610.03296v1 Announce Type: new Abstract: Complex reasoning queries can be decomposed into directed acyclic task graphs and distributed across heterogeneous LLMs, reducing latency through parallelism and enabling s…
- arXiv cs.AIresearchOptimal Planning in a Dynamic World
arXiv:2610.03312v1 Announce Type: new Abstract: Background: We address the problem of planning when the set of feasible states or actions changes over time. For example, in the problem of path planning among moving obsta…
- arXiv cs.AIagentsLightweight, Rubric-Guided Trajectory Evaluation for Production AI Agents
arXiv:2610.03315v1 Announce Type: new Abstract: Trajectory evaluation is essential for improving the reliability of LLM-based agents, but production use makes it expensive to run repeatedly. Modern agents generate long t…
- arXiv cs.AIresearchMulti-Task Evolution for Zero-Shot Cross-Problem Generalization using LLMs
arXiv:2610.03316v2 Announce Type: replace Abstract: Designing effective heuristics for diverse combinatorial optimization problems requires substantial expertise and repeated search. Large language models (LLMs) automate…
- arXiv cs.AIresearchRefinement Buys Intelligibility, Search Buys Identity: What Test-Time Compute Buys in Masked-Diffusion TTS
arXiv:2610.03320v1 Announce Type: new Abstract: Diffusion language models for text-to-speech combine two forms of computation: model depth (parameters) and refinement steps (inference budget). We ask whether they scale e…
- arXiv cs.AIresearchPreserving Mathematical Reasoning in Compressed Diffusion Language Models via Trajectory-Aware Low-Rank Approximation
arXiv:2610.03326v1 Announce Type: new Abstract: Diffusion language model (dLLM) compression faces a known challenge because calibration is typically performed on clean, fully visible activations, whereas inference traver…
- arXiv cs.AIagentsReFract: Benchmarking Perspective Awareness in Language Model Agents with Text World Models
arXiv:2610.03356v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly deployed in high-stakes settings such as industrial maintenance and equipment fault troubleshooting, where workers occupy…
- arXiv cs.AIresearchGeometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
arXiv:2610.03363v3 Announce Type: replace Abstract: Neural surrogate models for Partial Differential Equations (PDEs) on unstructured 3D geometries are often limited by poor generalization and the high cost of generating…
- arXiv cs.AIresearchMultilingual GSM-Symbolic: What determines capability transfer across languages?
arXiv:2610.03367v2 Announce Type: replace Abstract: We understand little about how capabilities acquired in one language carry over to another, or what governs this transfer: evaluations rely on incomparable, saturation-…
- arXiv cs.AIresearchCVE2AP: Automated Generation of PDDL-Encoded Attack Paths via Large Language Models
arXiv:2610.03383v1 Announce Type: new Abstract: Attack Path (AP) modeling is fundamental to cybersecurity analysis, where the Planning Domain Definition Language (PDDL) has been widely adopted to encode APs into formal a…
- arXiv cs.AIresearchBenchmarking candidate coverage and rejection policy transfer in typed decision models
arXiv:2610.03387v2 Announce Type: replace Abstract: Rejection policies must remain useful as candidate sets and tasks change. We compare Laya, Jev and Qwen2.5-7B-Instruct using public reference labels, testing Laya/Jev p…
- arXiv cs.AIresearchBecoming Suspicious Across Borders: Algorithmic Extraterritoriality and AI-Driven Financial Surveillance
arXiv:2610.03425v1 Announce Type: new Abstract: Suspicion is an important, yet elusive concept in anti-money laundering and counter-terrorist financing (AML/CFT), which allows for intervention below the threshold of proo…
- arXiv cs.AIresearchJumping the Line: Exploiting Length Predictions in LLM Scheduling
arXiv:2610.03430v1 Announce Type: new Abstract: Efficient request scheduling is increasingly important for reducing completion time in large language model (LLM) serving. Size-based policies such as Shortest Job First pr…
- arXiv cs.AIresearchA Near-Zero Monitor Readout Is Not Evidence of Behavioral Control
arXiv:2610.03458v1 Announce Type: new Abstract: Post-training with verifiable rewards can induce reward hacking, motivating the use of monitors within the training objective rather than solely for offline auditing. We sh…
- arXiv cs.AIresearchEfficient Reasoning Training Does Not Always Harm CoT Faithfulness and Monitorability
arXiv:2610.03509v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning allows humans to inspect how large language models reach their answers, and oversee model behaviour. This reasoning comes at an increased i…
- arXiv cs.AIresearchReasoning Models Are Accurate but Unsound on Identification
arXiv:2610.03519v1 Announce Type: new Abstract: A reasoning model asked whether a causal effect is recoverable from observational data can fail in two ways: it refuses an identifiable query or answers a nonidentifiable o…
- arXiv cs.AIresearchFrom Benchmarks to Production: A Text-to-SQL System for Complex Financial Data
arXiv:2610.03524v1 Announce Type: new Abstract: General-purpose Text-to-SQL systems achieve strong performance on academic benchmarks like Spider and BIRD, where schemas are relatively shallow and column values are often…
- arXiv cs.AIresearchRecursive Harness Self-Improvement for Frontier Reasoning Data Synthesis
arXiv:2610.03548v1 Announce Type: new Abstract: Generating progressively harder reasoning problems requires synthesis procedures that adapt as the task distribution evolves. Existing task-level recursion reuses generated…
- arXiv cs.AIagentsKnowledge or Calculator? Decomposing the Skill Premium in Verifiable Financial Agent Workflows
arXiv:2610.03564v1 Announce Type: new Abstract: Financial AI agents must do more than retrieve facts: investment workflows require correct quantitative execution, reliable use of procedural resources, and auditable struc…
- arXiv cs.AIresearchLearning to Assess Heartbeat Observability for mmWave Heart-Rate Sensing
arXiv:2610.03570v1 Announce Type: new Abstract: Contactless heart-rate sensing with millimeter-wave (mmWave) radar requires assessing whether individual measurements support reliable estimation. We study learning to asse…
- arXiv cs.AIagentsHyperBrowseComp: A Multilingual and Multimodal Stress Test for Web-Browsing Agents
arXiv:2610.03574v1 Announce Type: new Abstract: We introduce HyperBrowseComp, a multilingual and multimodal browsing benchmark comprising 423 manually authored and human-validated questions across 13 languages, written b…
- arXiv cs.AIagentsHazardWeaver: Scientific Route Selection for Hazard Analysis Agents
arXiv:2610.03591v1 Announce Type: new Abstract: Understanding and assessing natural hazards is essential for disaster preparedness and risk reduction. Recent advances in large language models have spurred growing interes…
- arXiv cs.AIresearchVideo-Time Priors for EEG-fNIRS Emotion Regression on Familiar Videos
arXiv:2610.03618v2 Announce Type: replace Abstract: Do viewer-specific physiological signals improve continuous emotion regression beyond the stimulus-driven response shared across viewers? We examine this question by pr…
- arXiv cs.AIresearchDepth as Time in One-Step Generative Models
arXiv:2610.03626v1 Announce Type: new Abstract: The recent wave of one-step generative models, which compress the multi-step trajectory of diffusion via either distillation or learned flow maps, has reached an inflection…
- arXiv cs.AIagentsNeutronGym: Physics-Graded Neutron Instrument Design for LLM Agents
arXiv:2610.03631v1 Announce Type: new Abstract: Designing a scientific instrument tests whether language-model agents can do physics rather than recall it, provided the grading cannot be argued with. We introduce Neutron…
- arXiv cs.AIagentsCredit Where It Matters: Dependency-Aware Policy Optimization for Terminal Agents
arXiv:2610.03634v1 Announce Type: new Abstract: Terminal-using agents benefit from reinforcement learning (RL) in coding, debugging, and other multi-step terminal tasks. In these tasks, later commands often depend on inf…
- arXiv cs.AIresearchDo Large Language Models Know Colombian Law? A Reliability Benchmark for the Colombian Legal System
arXiv:2610.03639v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support legal practice, education, and research, yet their reliability in national legal systems outside the United St…
- arXiv cs.AIresearchMRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search
arXiv:2610.03651v1 Announce Type: new Abstract: Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memory budgets change. Tuning a quantizer separately for…