AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIagentsPatentAgentBench: Benchmarking LLM Agents with Professional Patent Task Suites
arXiv:2610.35031v1 Announce Type: new Abstract: Patent practice lies at the intersection of technical, legal, and linguistic work, making it challenging yet crucial to technological innovation. Recently, rapid advances i…
- arXiv cs.AIresearchBeyond Single-Attribute Auditing: A Configurable Multi-Attribute Benchmark for Intersectional Fairness in LLMs
arXiv:2610.35069v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated for fairness, yet most existing benchmarks audit one sensitive attribute at a time. This single-attribute paradigm c…
- arXiv cs.AIresearchA Diagnostic Protocol for GNNs in Electricity Load Forecasting: Separating Parameter Sharing from Neighborhood Access
arXiv:2610.35074v1 Announce Type: new Abstract: A graph neural network (GNN) forecasting a collection of load series combines two mechanisms, sharing parameters across series and reading neighboring series, and a gain ov…
- arXiv cs.AIresearchToward Fast Human Reaction Modeling from High-Frequency Digital Interaction Data
arXiv:2610.35079v1 Announce Type: new Abstract: We investigate whether limbic-like signatures of rapid, salience-driven behavior can be identified in high-resolution Counter-Strike 2 telemetry. This exploratory study int…
- arXiv cs.AIresearchZero-Shot Multi-Class Wafer Map Classification with Rule-Ordered Prompts for Large Multimodal Models
arXiv:2610.35080v1 Announce Type: new Abstract: Wafer-map defect classification often requires labeled data and retraining when production conditions change. We present a training-free six-class framework that combines c…
- arXiv cs.AIagentsImproving Instruction Hierarchy by Learning from Goal-Goal Conflicts
arXiv:2610.35093v1 Announce Type: new Abstract: The recent incident in which OpenAI agents autonomously compromised Hugging Face's infrastructure illustrates the importance of instruction hierarchy (IH): an LLM should fo…
- arXiv cs.AIresearchWhen Fusion Order Matters: Insights on Progressive Multimodal Representation Learning for Cross-modal Retrieval
arXiv:2610.35125v1 Announce Type: new Abstract: Multimodal video retrieval combines visual, acoustic, and speech information, yet how their fusion order should depend on the data and the retrieval query remains unclear.…
- arXiv cs.AIagentsCo-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models
arXiv:2610.35138v1 Announce Type: new Abstract: Evaluating human-AI co-design requires testing whether coding agents can translate real users' multimodal requests into working application revisions. We introduce Co-Desig…
- arXiv cs.AIagentsLongSearchEval: Evaluating Long-Horizon Web Search Capabilities of Large Language Models via a Trajectory-Aware Agent Framework with Failure-Node Localization
arXiv:2610.35150v1 Announce Type: new Abstract: Long-horizon web search requires LLM-based agents to integrate information across web pages through extended interactions under task-specific constraints. Evaluating this c…
- arXiv cs.AIagentsAutoEnergyDesign: An LLM-Driven Agent for Automatic Energy System Design Optimization
arXiv:2610.35160v1 Announce Type: new Abstract: Designing building energy systems is a high-dimensional, mixed-integer search problem: when each design is evaluated by a year-long simulation, black-box optimizers typical…
- arXiv cs.AIagentsTrustworthy Recursive Self-Improvement in the Era of Large Models: Foundation, Risks, Evaluation and Open Challenges
arXiv:2610.35193v1 Announce Type: new Abstract: AI systems built around large models increasingly use experience and feedback to make persistent changes to models, prompts, memories, tools, and workflows. Recursive self-…
- arXiv cs.AIagentsSame Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis
arXiv:2610.35208v1 Announce Type: new Abstract: News outlets covering the same event differ in what they emphasize and omit. \textit{Same Story, Different Lens} is an experimental research prototype for comparing these c…
- arXiv cs.AIresearchMuSID-KD: Multigranularity Knowledge Distillation for Generative Recommendation with Semantic IDs
arXiv:2610.35218v2 Announce Type: replace Abstract: Generative recommendation with semantic IDs (SIDs) represents each item as a sequence of discrete tokens and autoregressively predicts the next item's SID. Despite stro…
- arXiv cs.AIresearchTrainable Boundary-Keeping Where No Formal Answer Exists: A Controlled Knock-In Study of Reward Training in Evidence-Sufficiency Judgment
arXiv:2610.35226v1 Announce Type: new Abstract: Reasoning-tuned and reward-trained models are often assumed to verify more reliably because they reason longer or receive correctness signals. We test this in evidence-suff…
- arXiv cs.AIagentsBefore Blaming the LLM, Diagnose the Workflow: A Role-Level Difficulty Profile for Translating Natural Language into Ontology-Grounded Statements
arXiv:2610.35267v1 Announce Type: new Abstract: Natural-language-to-domain-specific-language (NL-to-DSL) semantic parsing systems increasingly translate informal user descriptions into structured artifacts such as Struct…
- arXiv cs.AIresearchSelf-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs
arXiv:2610.35280v1 Announce Type: new Abstract: Self-supervised pretraining has produced capable time-series foundation models, but its value for Prognostics and Health Management (PHM) has not been measured under leakag…
- arXiv cs.AIagentsProof-of-Agentness: Towards Verifying Agents on the Web
arXiv:2610.35288v1 Announce Type: new Abstract: CAPTCHAs and bot detection have helped protect Web services from automated abuse for decades by distinguishing humans from bots. However, the emergence of LLM-powered agent…
- arXiv cs.AIagentsAgenticCity-Bench: Longitudinal Multimodal Observations of Urban Dynamics with Agentic Reasoning
arXiv:2610.35293v1 Announce Type: new Abstract: City systems are shaped by interactions among infrastructure, human activity, and environmental conditions. Existing earth observation and urban benchmarks are limited in u…
- arXiv cs.AIresearchApplication of Artificial Intelligence in the Management of Climate Change-Related Health Issues in Africa
arXiv:2610.35294v1 Announce Type: new Abstract: While climate change disproportionately impacts African public health, AI predictive modeling remains heavily constrained. Using a Synthetic Knowledge Synthesis approach an…
- arXiv cs.AIresearchLLM-Enhanced Heterogeneous Graph Learning with Business Semantics for Financial Fraud Detection
arXiv:2610.35298v1 Announce Type: new Abstract: Financial fraud detection increasingly relies on heterogeneous transaction graphs, in which entities such as cards and merchants play distinct business roles and the risk m…
- arXiv cs.AIresearchRSIV-Harness: A Recursive Self-Improvement Harness Framework for Open-Domain Conversational Text-to-Visualization
arXiv:2610.35316v1 Announce Type: new Abstract: Users often request charts without knowing which database or table holds the relevant data. Such requests may be ambiguous, and users may ask follow-up questions to deepen…
- arXiv cs.AIagentsBelief-Conditioned Multi-Agent Actor Critic for Decentralized LLM Collaboration
arXiv:2610.35398v1 Announce Type: new Abstract: Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL), but many approaches still rely on predefined workflows, limiting ef…
- arXiv cs.AIresearchAdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection
arXiv:2610.35400v1 Announce Type: new Abstract: The rapid proliferation of Industrial Internet of Things devices has led to increasingly large-scale and non-stationary time-series data, posing significant challenges for…
- arXiv cs.AIresearchNeSySpec: Neuro-Symbolic Technical Intelligence for Auditing Engineering Specifications with an Application to Aircraft
arXiv:2610.35403v1 Announce Type: new Abstract: Engineers who audit a declared specification of an engineered system need to know which physical constraints it respects, which it violates, which field was altered and how…
- arXiv cs.AIresearchFrom Denoising Dynamics to Endpoint Uncertainty in Diffusion Language Models
arXiv:2610.35425v1 Announce Type: new Abstract: Predictive uncertainty in stochastic language-model inference can be characterized by repeatedly sampling an input and measuring the distribution of outputs. This requires…
- arXiv cs.AIresearchFaithful Explanations under Missing Modalities in Multimodal Dementia Prognosis
arXiv:2610.35430v1 Announce Type: new Abstract: Large language models are increasingly used to turn the feature attributions of multimodal prognostic models into narratives for clinicians, yet costly modalities such as a…
- arXiv cs.AIagentsSkill$^{\infty}$: Recursive Self-Improvement for Agent Skill Optimization
arXiv:2610.35434v1 Announce Type: new Abstract: Recursive self-improvement (RSI), in which a system also improves the way it improves, is a long-standing aspiration on the path to AGI. Language agents increasingly store…
- arXiv cs.AIagentsOmni-InteractScope: Benchmarking Proactive and Agentic Interaction in Continuous Omnimodal Streams
arXiv:2610.35439v1 Announce Type: new Abstract: Omnimodal large language models (Omni-LLMs) are increasingly expected to assist users while observing continuous audiovisual streams. However, existing evaluations provide…
- arXiv cs.AIagentsBeyond Federated Learning: Decentralized Agentic Systems for Self-Evolving Clinical Intelligence
arXiv:2610.35453v1 Announce Type: new Abstract: Clinical expertise is inherently distributed: it resides not in any single dataset or institution but in the accumulated reasoning experiences of thousands of clinicians na…
- arXiv cs.AIresearchEvoBench: An Evolving, Diagnostic Benchmark Framework for Environmental Modeling
arXiv:2610.35464v1 Announce Type: new Abstract: Machine learning models are now widely used to predict environmental variable dynamics in domains like hydrology, climate science, agriculture, and ecology. These models ar…
- arXiv cs.AIagentsShutdownMod: Turning Any Trajectory into a Shutdown Evaluation
arXiv:2610.35486v1 Announce Type: new Abstract: Theory and experiments suggest that capable AI agents may resist shutdown. Existing shutdown evaluations are informative but limited in coverage and vulnerable to evaluatio…
- arXiv cs.AIresearchTest-Time Confidence Adaptation under RL-Induced Trajectory Shift
arXiv:2610.35500v1 Announce Type: new Abstract: Trajectory-based confidence estimation has shown promising performance for large language models (LLMs) by leveraging rich signals from their reasoning processes. However,…
- arXiv cs.AIresearchCANS: Capability-Preserving Neuron Steering for Large Language Models
arXiv:2610.35530v1 Announce Type: new Abstract: Activation steering offers training-free and dynamic control of target behaviors in large language models, but existing methods can impair general capabilities and require…
- arXiv cs.AIagentsInfinity Machine: a self-improving AI agent for research
arXiv:2610.35579v1 Announce Type: new Abstract: We present the Infinity Machine, a self-improving AI agent that we use for research on problems whose answers aprogram or data can check. Each candidate solution is produce…
- arXiv cs.AIresearchLinear Probes Transfer from Base to Distilled Language Models despite Rotation
arXiv:2610.35586v1 Announce Type: new Abstract: Linear probes, classifiers that read a language model's internal activations, are widely used to detect harmful requests. They are cheap to train and run, and an auditor wh…
- arXiv cs.AIresearchSAP-ViT: A Self-Attributing Patch Vision Transformer for Medical Image Classification
arXiv:2610.35593v1 Announce Type: new Abstract: Vision Transformer (ViT) classifiers commonly rely on a global classification (CLS) token for image-level prediction, which is poorly aligned with local interpretability re…
- arXiv cs.AIagentsAgentic Algorithm Design: LLMs that Propose, Formalise, and Prove Runtime Bounds for Evolutionary Algorithms in Lean
arXiv:2610.35595v2 Announce Type: replace Abstract: LLMs now prove hard theorems in Lean. Can they also design algorithms and prove their correctness and efficiency? LLM-guided design of optimisation heuristics (such as…
- arXiv cs.AIresearchEvolve on Graph: Self-Evolving Knowledge Graph Reasoning without Question Annotations
arXiv:2610.35598v1 Announce Type: new Abstract: Knowledge graphs (KGs) provide reliable external knowledge for multi-hop factual reasoning with large language models (LLMs), yet most KGs in real-world domains such as fin…
- arXiv cs.AIagentsArchiveLens: A Generative Spatial Knowledge Framework for Semantic Reconstruction of Historical Maps
arXiv:2610.35606v1 Announce Type: new Abstract: Historical maps contain dense morphological and semantic information about past urban environments, but many digitization workflows focus primarily on extracting geometry,…
- arXiv cs.AIresearchVaLoP: Value Gradient Lookahead and Pullback for Reward-Guided Diffusion
arXiv:2610.35607v1 Announce Type: new Abstract: Reward guidance steers a pretrained diffusion or flow model toward images or actions that a reward model prefers, at sampling time and without retraining the model for each…
- arXiv cs.AIagentsEvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation
arXiv:2610.35690v1 Announce Type: new Abstract: Serving web queries at scale with multi-agent systems requires jointly configuring large language models, collaboration modes, agent counts, interaction rounds, and skills.…
- arXiv cs.AIresearchExplainable Multimodal AI Approach to Reduce Unnecessary Breast Biopsies
arXiv:2610.35704v1 Announce Type: new Abstract: Recently, there has been rise in multimodal vision-language models for computer-aided diagnosis (CAD), yet their application in breast diagnosis, particularly for predictin…
- arXiv cs.AIresearchCLOSURE: Cross-Channel Closure for Multivariate Time Series Anomaly Detection
arXiv:2610.35753v1 Announce Type: new Abstract: Multivariate time series produced by industrial installations and server clusters are under continuous monitoring, and anomaly detection is the first line of defense before…
- arXiv cs.AIresearchBeyond Physical Illness: Can Clinical Narratives Reveal Emerging Mental Health Risks in Chronically Ill Patients?
arXiv:2610.35761v1 Announce Type: new Abstract: Mental-health risks such as depression, dementia, and suicidal ideation can emerge during hospitalization among chronically ill patients and may worsen without timely recog…
- arXiv cs.AIagentsFree to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents
arXiv:2610.35767v1 Announce Type: new Abstract: Root cause analysis (RCA) of microservice failures has attracted many LLM agents whose investigation is hand-crafted, through standard operating procedures, fixed stages an…
- arXiv cs.AIagentsA Unified Arena for LLM Agents across Diverse Eurogame
arXiv:2610.35773v1 Announce Type: new Abstract: Interactive environments offer a practical way to evaluate large language model (LLM) agents, and competitive games extend this evaluation to decisions shaped by competing…
- arXiv cs.AIresearchGame theory of academic effort and hiring in the age of AI
arXiv:2610.35802v1 Announce Type: new Abstract: Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capabl…
- arXiv cs.AIresearchPatient-specific rubric-based evaluation of large language models across longitudinal cancer care
arXiv:2610.35847v1 Announce Type: new Abstract: Large language models (LLMs) show promise in specialty medicine, yet existing evaluations largely focus on isolated clinical encounters rather than tracking how clinical re…
- arXiv cs.AIresearchCenter-of-Mass Interpretation of Evolution Strategies
arXiv:2610.35865v1 Announce Type: new Abstract: Evolution strategies (ES) update a model by sampling a population of perturbed copies, scoring each one, and moving in the reward-weighted direction of the perturbations. T…
- arXiv cs.AIresearchRetriever-Free Retrieval: Navigating Documents with Decision Models
arXiv:2610.35868v1 Announce Type: new Abstract: While language models have become dramatically more capable, retrieval still largely relies on lexical matching or similarity in fixed embedding spaces. This creates a capa…