AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsTGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent
arXiv:2610.32326v1 Announce Type: new Abstract: Large Language Model (LLM) agents have enabled automated code evolution for algorithm discovery. However, current recursive self-improvement (RSI) research for sequential r…
- arXiv cs.AIresearchFOCUS: A Lightweight Mamba-2 Model for EEG-Based Cognitive Workload Classification
arXiv:2610.32361v1 Announce Type: new Abstract: Cognitive workload estimation from physiological signals is increasingly relevant in high-risk environments, where continuous and unobtrusive monitoring can inform adaptive…
- arXiv cs.AIagentsAdaptive Control of Scientific Instruments with Nonstationary Responses through Multimodal Agents
arXiv:2610.32370v1 Announce Type: new Abstract: Controlling scientific instruments requires parameters to be adjusted progressively in response to feedback from successive operations. When unobserved operating conditions…
- arXiv cs.AIagentsDealsFlow: An Evidence-Gated Agentic Harness for Venture Capital Deal Triage
arXiv:2610.32380v1 Announce Type: new Abstract: Large language models (LLMs) can read startup pitch decks, but letting them emit investment scores directly invites score inflation, run-to-run variance and rationales that…
- arXiv cs.AIagentsLeafSkill: Efficient Leaf-Level Action Grounding for Recursive LLM Agents
arXiv:2610.32412v1 Announce Type: new Abstract: Recursive large language model (LLM) agents solve long-horizon tasks through decomposition, execution, and environmental feedback. Yet after producing an atomic subtask, th…
- arXiv cs.AIagentsAsync-RBench: Benchmarking Asynchronous Task Execution in LLM Agents
arXiv:2610.32429v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly execute tasks asynchronously: a main agent continues working while its subagents run, and the task state may change before th…
- arXiv cs.AIresearchWhen to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning
arXiv:2610.32431v1 Announce Type: new Abstract: A failed vision-language-action (VLA) rollout does not imply that every action contributed to failure. Yet in group-relative policy optimization (GRPO), a single trajectory…
- arXiv cs.AIagentsPOSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories
arXiv:2610.32448v1 Announce Type: new Abstract: Training environments remain a major bottleneck for agents in data-driven scientific discovery. Existing collections of executable and verifiable training environments are…
- arXiv cs.AIresearchALLMTS: Automated LLM-based Medical Triage System
arXiv:2610.32469v1 Announce Type: new Abstract: Telephone triage is a safety critical task: from a brief intake note, a nurse must decide whether a caller needs an ambulance, an emergency department, an appointment, or s…
- arXiv cs.AIresearchBeyond Post-Hoc Rewards: Privileged Reasoning Exploration for Multimodal Embeddings
arXiv:2610.32474v1 Announce Type: new Abstract: Advances in Multimodal Large Language Models (MLLMs) have driven substantial progress in multimodal embeddings. Recent methods exploit generative capabilities by augmenting…
- arXiv cs.AIagentsCauProphet: Teaching Agents to Develop Causal Cognition like Humans
arXiv:2610.32477v2 Announce Type: replace Abstract: Large language model (LLM) agents increasingly support long-horizon tasks by leveraging external memory and past experience. However, existing agents mainly retrieve re…
- arXiv cs.AIresearchCASE: Confusion-Aware Skill Evolution for Frozen Multimodal Emotion Models
arXiv:2610.32481v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have substantially advanced Multimodal Emotion Recognition (MER) by enabling fine-grained emotion understanding through reasoning o…
- arXiv cs.AIagentsWhen Agents Fail: Model or Harness--Who's to Blame?
arXiv:2610.32483v1 Announce Type: new Abstract: LLM agents combine models with execution harnesses, so agentic benchmark performance reflects their joint behavior. We argue that harnesses should therefore be evaluated th…
- arXiv cs.AIagentsIGG: A Benchmark for Interactive GUI Grounding under Visibility Constraints
arXiv:2610.32536v1 Announce Type: new Abstract: GUI grounding benchmarks ask whether an agent can localize a target that is already visible in a static screenshot. Real interfaces often violate this assumption: a target…
- arXiv cs.AIresearchBeyond Channel Data: Configuration-Enriched Radio Foundation Models
arXiv:2610.32542v1 Announce Type: new Abstract: This paper proposes incorporating channel configuration (CFG) information into Radio Foundation Model (RFM) pre-training and demonstrates that the resulting CFG-enriched em…
- arXiv cs.AIresearchLLaCO: Continuous Diffusion for Large Language Models with Competition-Aware Semantic Scheduling
arXiv:2610.32604v1 Announce Type: new Abstract: Continuous diffusion models have emerged as a promising non-autoregressive paradigm for text generation over continuous embedding spaces. Along the continuous trajectory, t…
- arXiv cs.AIagentsWhat Transfers Across Protein Pockets? Experience Reuse in Molecular Optimization for Agentic Structure-Based Drug Design
arXiv:2610.32620v1 Announce Type: new Abstract: LLM agents optimize a ligand in a protein pocket by editing it step by step and docking each edit. Recent agents first spend extra dockings probing the complex with control…
- arXiv cs.AIresearchLGMT: A Tool for Testing the Logical Reasoning Reliability of LLMs
arXiv:2610.32627v1 Announce Type: new Abstract: Large Language Models (LLMs) increasingly serve as reasoning components in modern software systems, yet a model that answers a logical query correctly can contradict itself…
- arXiv cs.AIresearchWiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport
arXiv:2610.32660v2 Announce Type: replace Abstract: Continual Wi-Fi sensing must balance plasticity, learning new rooms or users, against stability, keeping earlier ones, yet nodes often cannot retain channel state infor…
- arXiv cs.AIresearchDo Language Models Trust Their Own Justifications? A Study on Functional Consistency
arXiv:2610.32665v1 Announce Type: new Abstract: Large Language Models (LLMs) have been widely adopted in text classification tasks, where they not only output class predictions but also generate explanations that highlig…
- arXiv cs.AIresearchRetiming Robot Demonstrations with a Learned Speed Prior
arXiv:2610.32676v1 Announce Type: new Abstract: The pace of a robot demonstration is often determined by the teleoperator rather than by the task itself. As a result, the same motion can appear at widely different speeds…
- arXiv cs.AIagentsAgentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication
arXiv:2610.32738v1 Announce Type: new Abstract: Hazard maps are essential tools for public risk communication, preparedness, and evacuation planning, yet effective cartographic design is not always ensured due to limited…
- arXiv cs.AIagentsActionRAG: Evidence-Refining Graph Diffusion for Long-Term Memory in LLM Agents
arXiv:2610.32752v1 Announce Type: new Abstract: LLM agents need long-term memory that can recover precise and mutually consistent evidence from growing interaction histories, particularly when answers depend on relations…
- arXiv cs.AIagentsHarnessMM: Recursive Self-Improvement for Harness Token Efficiency
arXiv:2610.32813v1 Announce Type: new Abstract: Agent harnesses repeatedly invoke reasoning after tool feedback, even when an earlier call has already fixed the next action. We introduce HarnessMM (Harness Minus Minus),…
- arXiv cs.AIagentsReimagining Enterprise RAG for Multi-Agent Systems: A Knowledge Layer That Organizes Before It Retrieves
arXiv:2610.32851v1 Announce Type: new Abstract: Enterprises are deploying agentic AI across the software development lifecycle, and they need the behavioral logic of the systems they act on, not stakeholder documentation…
- arXiv cs.AIresearchA Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation
arXiv:2610.32863v1 Announce Type: new Abstract: Longitudinal causal effect estimation is complicated by time-varying confounding and treatment-confounder feedback loops. Existing methods generally require data-specific n…
- arXiv cs.AIresearchFrom Deliberately Constructed Systemic Representations of the World of Activity to Dialogue: A Five-Level Communication Architecture for Strong Language-Based ASI
arXiv:2610.32869v1 Announce Type: new Abstract: This paper proposes a five-level organization of message formation and understanding within thinking and activity in which ASI participates. Its central thesis is that a la…
- arXiv cs.AIagentsDo "True" and "False" Add Up to One? Complement Consistency in LLM-Agent Opinion Simulations
arXiv:2610.32874v1 Announce Type: new Abstract: In LLM-agent opinion simulations, each agent reports the probability that a claim is true after seeing its own previous probability and the probabilities reported by its ne…
- arXiv cs.AIresearchAdvancing SVD-based LLM Compression via Layer-Wise Error Model Search
arXiv:2610.32878v2 Announce Type: replace Abstract: Low-rank SVD-based compression offers a powerful strategy to reduce the computational costs of LLMs. However, existing methods face two key limitations: (i) global rank…
- arXiv cs.AIresearchNgramRL: Accelerating RL Post-Training for Structured Generation via Rollout-Aware N-gram Speculative Decoding
arXiv:2610.32881v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training improves the reasoning capabilities of large language models, but its cost is dominated by autoregressive rollout generation, whic…
- arXiv cs.AIresearchClosing the Modality Gap via Simplex-Constrained Representations
arXiv:2610.32890v1 Announce Type: new Abstract: While multimodal contrastive models like CLIP and CLAP successfully learn shared representations, their embeddings typically exhibit a persistent \emph{modality gap}. We pr…
- arXiv cs.AIagentsSemantEq: Faithful Bidirectional Equivalence of Formal Statements
arXiv:2610.32919v1 Announce Type: new Abstract: Statement autoformalization translates mathematics from natural language into a proof assistant such as Lean 4, and models now do it at scale. As provers get stronger, the…
- arXiv cs.AIresearchAstro2Method: Benchmarking LLMs on Machine Learning Method Selection in Astronomy
arXiv:2610.30282v1 Announce Type: cross Abstract: Machine learning (ML) is increasingly used in astronomy, but choosing a suitable method for a scientific problem often requires expertise in both astronomy and ML. Large…
- arXiv cs.AIresearchValidating the Comparison, Not Just the Scorer: Why Overall Accuracy Can Mislead in Interactive LLM Evaluation
arXiv:2610.31678v1 Announce Type: cross Abstract: Many LLM studies compare how models respond to different follow-up prompts. For example, one prompt may neutrally ask a model to reconsider, while another insists that an…
- arXiv cs.AIresearchRethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity?
arXiv:2610.31681v1 Announce Type: cross Abstract: Structured generation is typically formulated as a deterministic mapping from input to a single structured output. This assumption is fundamentally misaligned with natura…
- arXiv cs.AIagentsAn Agentic Approach with Evidence-Grounded Verification for Multimodal Emotion Reasoning in Conversation
arXiv:2610.31685v1 Announce Type: cross Abstract: LLM-based multimodal emotion reasoning systems perform well on standard benchmarks, but improving them through instruction tuning can be computationally expensive. Agenti…
- arXiv cs.AIresearchFrom Target Selection to Condition Reuse: Auditing Residual Interventions in Tool-Use Models
arXiv:2610.31686v1 Announce Type: cross Abstract: Activation interventions can make a language model produce a target answer, but can the model use the intended condition in other computations? We study this question in…
- arXiv cs.AIresearchDistributional Alignment of LLMs and Its Generalization Properties
arXiv:2610.31687v1 Announce Type: cross Abstract: Large language models are increasingly used to simulate and probe human behavior, e.g., for surveys. For these applications, a key property is that outputs satisfy distri…
- arXiv cs.AIresearchCollaborative In-Context Learning for Indoor Radio Map Estimation
arXiv:2610.31702v1 Announce Type: cross Abstract: Indoor radio map estimation (RME) is essential for wireless applications such as coverage planning, localization, and network deployment. However, most existing methods f…
- arXiv cs.AIagentsBefore the Ticket: Grounding HPC User Support in Documentation and Resolved Tickets with an Agentic LLM Assistant
arXiv:2610.31703v1 Announce Type: cross Abstract: Most questions that reach an HPC help desk have already been answered in the center's user guides or in a ticket someone else filed last semester; users still file new ti…
- arXiv cs.AIagentsRubricCraft: Where Solutions Diverge, Criteria Emerge
arXiv:2610.31707v1 Announce Type: cross Abstract: Evaluating language agents on open-ended, artifact-producing tasks is difficult: model-based graders can be inconsistent, while exhaustive programmatic checks are often i…
- arXiv cs.AIagentsMining the Design Space of Multi-Agent Workflows
arXiv:2610.31709v1 Announce Type: cross Abstract: Designing large language model (LLM) multi-agent systems (MAS) still relies on trial and error and informal "folk wisdom." Manual studies test only a few communication st…
- arXiv cs.AIagentsCompact-Bench: Measuring What Context Compaction Costs Long-Horizon Coding Agents
arXiv:2610.31710v2 Announce Type: replace-cross Abstract: Context compaction lets long-horizon coding agents continue beyond their context windows, but can erase the state needed to finish a task. Prior evaluations measu…
- arXiv cs.AIagentsMBABench-2.0: Evaluating AI Agents on Constructing Financial Spreadsheets Beyond Simple Verifiability
arXiv:2610.31711v1 Announce Type: cross Abstract: Spreadsheets are the lingua franca of modern finance, driving valuation, forecast, audit, and many other core workflows of the industry. As LLM agents advance to automate…
- arXiv cs.AIagentsReuse, Rewrite, or Reject: Evidence-Constrained Trace Reuse for Repeated Mobile GUI Control
arXiv:2610.31712v1 Announce Type: cross Abstract: Mobile GUI agents frequently perform repetitive tasks with similar interaction procedures. Reusing previous executions can reduce redundant LLM inference and execution ov…
- arXiv cs.AIagentsWhat Open-Source Projects Tell Their Coding Agents: A Census of AGENTS.md and CLAUDE.md
arXiv:2610.31715v2 Announce Type: replace-cross Abstract: Coding agents can be guided with instruction files in a repository. We examine this emerging practice through a census of 22,854 popular, active GitHub repositori…
- arXiv cs.AIresearchEnd-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
arXiv:2610.31721v1 Announce Type: cross Abstract: Optimizing high-dimensional physical systems under expensive evaluations and complex constraints is a central challenge in science and engineering. In offline model-based…
- arXiv cs.AIresearchAutoregressive Multimodal Anomaly Detection with Large Language Models for Microservice Systems
arXiv:2610.31722v1 Announce Type: cross Abstract: Microservice systems have become a dominant architecture for large-scale cloud applications, enabling rapid deployment and elastic scaling. However, ensuring the reliabil…
- arXiv cs.AIresearchLearning to Be Monitored: Causal Bounds and Intervention-Aware Post-Training Recipes for Chain-of-Thought Monitorability
arXiv:2610.31733v1 Announce Type: cross Abstract: Chain-of-thought (CoT) monitoring aims to detect potentially harmful behaviors in large language models (LLMs) from their CoTs. Intervention-based evaluations measure thi…
- arXiv cs.AIresearchGeneralized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
arXiv:2610.31739v1 Announce Type: cross Abstract: The rapid expansions of artificial intelligence (AI), big data (BD), and information and communication technologies (ICT) are driving substantial growth in electricity, w…