AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchDeFiRank: Federated Pairwise Ranking for Governance in Decentralized Financial Networks
arXiv:2610.12916v1 Announce Type: new Abstract: Existing governance approaches in decentralized financial networks rely on manual review processes conducted by human committees, which introduces subjective bias, creates…
- arXiv cs.AIagentsAI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization
arXiv:2610.12917v1 Announce Type: new Abstract: AI shopping assistants increasingly influence which products consumers consider. We study retail assortment planning under AI mediation, where a retailer chooses a catalog,…
- arXiv cs.AIresearchTeaching neural decoders with language
arXiv:2610.12921v1 Announce Type: new Abstract: Brain-computer interfaces decode neural activity, yet class-label supervision (CLS) leaves relationships among classes implicit. We propose Language as Supervision (LaS), w…
- arXiv cs.AIresearchCollaborative Learning and Reasoning over Model Slices
arXiv:2610.12927v1 Announce Type: new Abstract: Large language models (LLMs) excel across diverse tasks, benefiting from knowledge priors, in-context reasoning, and test-time computation. Despite these strengths, single-…
- arXiv cs.AIresearchLearning More by Training Less: Uncertainty-Guided Progressive Contraction for Efficient Reasoning Post-Training
arXiv:2610.12933v1 Announce Type: new Abstract: Large language models have achieved remarkable advances in complex reasoning. However, scaling reasoning post-training with ever-larger corpora can substantially increase t…
- arXiv cs.AIresearchMathVis: Can AI Reason through Drawing? A Benchmark for Mathematical Figure Generation
arXiv:2610.12954v1 Announce Type: new Abstract: This paper introduces MathVis, a benchmark designed to evaluate LLMs' ability to visualize frontier mathematical problems and perform diagram-assisted reasoning. The benchm…
- arXiv cs.AIagentsSmartSalesBench: A Resistance-Aware Multi-Turn Benchmark for Evaluating LLM Sales Agents
arXiv:2610.12975v1 Announce Type: new Abstract: We present SmartSalesBench, the first multi-turn conversational benchmark explicitly designed to evaluate large language model (LLM) sales agents against psychologically gr…
- arXiv cs.AIresearchBeyond Semantic IDs: Finite-Beam Reachability and Continuous-Query Generation in Generative Recommendation
arXiv:2610.12977v1 Announce Type: new Abstract: Generative recommendation (GR) of social media platforms commonly retrieves items by autoregressively decoding discrete Semantic IDs (SIDs) with finite-width beam search. T…
- arXiv cs.AIagentsWork2Skill: Capturing Human GUI Experience for Reusable Agent Skill Induction
arXiv:2610.12984v1 Announce Type: new Abstract: Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human domain knowledge remain challenging. Human demonstrati…
- arXiv cs.AIresearchBenchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification
arXiv:2610.12997v1 Announce Type: new Abstract: Prior-art retrieval systems are structurally organized around classification codes, making cross-code discovery difficult. This paper asks if an unsupervised representation…
- arXiv cs.AIagentsHindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task Characteristics
arXiv:2610.13000v1 Announce Type: new Abstract: Language-model agents are used for specialized work such as financial research, healthcare and law. Such agents are often capable enough for a task but still miss its detai…
- arXiv cs.AIagentsScaling Empowered Agents
arXiv:2610.13002v1 Announce Type: new Abstract: Empowerment measures the capacity of an agent to actively control its environment. In this work, we explain the connection between skill learning and empowerment. While ski…
- arXiv cs.AIresearchProvenance-Aware Belief Updating in Human-AI Feedback Loops
arXiv:2610.13008v2 Announce Type: replace Abstract: In repeated human-AI interaction, a single observation can be quoted, summarized, and returned to a model as multiple reports, making repetition look like independent c…
- arXiv cs.AIagentsEmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied Agents
arXiv:2610.13021v1 Announce Type: new Abstract: Continual learning requires models to accumulate past experience and transfer it to new tasks. Despite substantial research on continual learning, existing work remains lar…
- arXiv cs.AIagentsTravel Back To Move Forward: Retrospective Exploration and Evolving for Long Horizon Agents
arXiv:2610.13058v1 Announce Type: new Abstract: Large language model agents increasingly operate in long-horizon environments where early mistakes can trigger cascading failures and trap agents in dead-end trajectories.…
- arXiv cs.AIagentsLongHarness: Advancing Agentic Reasoning over 100M-Token Corpora via Stateful Evidence Management
arXiv:2610.13075v1 Announce Type: new Abstract: Corpus-level long-context reasoning requires agents to acquire and integrate evidence across document collections that exceed their context windows. Existing agent harnesse…
- arXiv cs.AIresearchAttention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs
arXiv:2610.13078v1 Announce Type: new Abstract: Safety-aligned large language models (LLMs) remain vulnerable to jailbreaks and can over-refuse benign requests. Understanding these failures requires distinguishing harmfu…
- arXiv cs.AIresearchSWEAR: Section-Wise Efficient Audio Reasoning via Self-Rated Difficulty
arXiv:2610.13081v1 Announce Type: new Abstract: Recent work on large audio-language models (LALMs) explores adaptive reasoning to balance accuracy and efficiency. However, existing approaches often rely on coarse-grained…
- arXiv cs.AIagentsWhen Faster Decisions Do Not Make Better Agents: An Empirical Study of Jev in Agent Workflows
arXiv:2610.13092v1 Announce Type: new Abstract: AI agents depend on repeated decisions to accomplish tasks, with large language models (LLMs) commonly serving as their core decision makers. The recent emergence of Jev of…
- arXiv cs.AIagentsVETR: Execution-Grounded Self-Improving Agent for Symbolic Graphics Reasoning
arXiv:2610.13098v2 Announce Type: replace Abstract: Visual agents for symbolic graphics reasoning depend on executable world representations, yet continued improvement remains bottlenecked by ambiguous supervision from f…
- arXiv cs.AIresearchDoes Location Matter? A Black-Box Causal Audit Reveals Model-Dependent Audio Grounding in LALM Hallucination
arXiv:2610.13112v1 Announce Type: new Abstract: Large audio-language models (LALMs) frequently exhibit object hallucination, affirming absent sounds. The dominant mitigation, Audio-Aware Decoding (AAD), contrasts logits…
- arXiv cs.AIagentsDRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation Design
arXiv:2610.13116v1 Announce Type: new Abstract: As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce severe dual-use risks…
- arXiv cs.AIagentsLocate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA
arXiv:2610.13128v1 Announce Type: new Abstract: Question answering over large heterogeneous document collections requires first finding the right passages and then reading them, yet current retrieval-augmented agents giv…
- arXiv cs.AIresearchLooking Ahead and Back: Anticipatory Generative Modeling for Road-Network Trajectories
arXiv:2610.13131v1 Announce Type: new Abstract: Trajectory generation underpins urban applications such as traffic management and urban planning. Within road networks, vehicle movement along road segments is largely dete…
- arXiv cs.AIresearchDP-MIND: Differentially private memory-guided Long context Inference
arXiv:2610.13132v1 Announce Type: new Abstract: LLM-as-a-Service has become a dominant paradigm for accessing large language models without requiring local deployment. However, the process raises severe privacy concerns…
- arXiv cs.AIagentsCompetence-Aware Orchestration for LLM-Based Multi-Agent Systems
arXiv:2610.13144v1 Announce Type: new Abstract: LLM-based multi-agent systems (MAS) have emerged as a promising paradigm for enhancing complex reasoning through role specialization and collaboration, yet a key challenge…
- arXiv cs.AIresearchVIGOR: Verifiable Industrial Geometry Optimization and Repair in Scene Programs
arXiv:2610.13145v1 Announce Type: new Abstract: Large language models (LLMs) increasingly generate structured layouts and executable scene programs from natural-language instructions. However, executability does not impl…
- arXiv cs.AIagentsQuality, Not Just Outcome: A Structural Scoring Framework for Selecting Coding-Agent Trajectories for Supervised Fine-Tuning
arXiv:2610.13152v1 Announce Type: new Abstract: Open coding agents are commonly trained through supervised fine-tuning on interaction trajectories whose final patches pass the benchmark test suite. However, this outcome-…
- arXiv cs.AIagentsRoleWorld: Knowledge Transfer in World Modeling with Functional Role Abstractions
arXiv:2610.13172v1 Announce Type: new Abstract: World models enable large language model (LLM) agents to anticipate action effects and make informed decisions. For generalization, it is desirable for such world models to…
- arXiv cs.AIresearchAdaC-GRPO: Towards Mastering Long-Horizon Visual Sudoku Puzzles via Adaptive Curriculum Learning
arXiv:2610.13184v1 Announce Type: new Abstract: While reinforcement learning with verifiable reward (RLVR) enhances reasoning in large language models, its efficacy in long-horizon multimodal tasks remains underexplored.…
- arXiv cs.AIagentsJANUS: Enhancing Long-Horizon Autonomous Research with Co-Evolving World Models
arXiv:2610.13194v1 Announce Type: new Abstract: Long-horizon autonomous research has shown promise in accelerating scientific progress through sustained cycles of hypothesis generation, implementation, and validation. Ho…
- arXiv cs.AIagentsForgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
arXiv:2610.13267v1 Announce Type: new Abstract: Large language model (LLM) agents are highly vulnerable to memory-poisoning attacks. Existing defenses primarily rely on external modules for either static memory isolation…
- arXiv cs.AIresearchBoundaryEvo: Data-Model Co-Evolution at the Capability Boundary for Long-Chain Reasoning Distillation
arXiv:2610.13285v1 Announce Type: new Abstract: Distilling long-chain reasoning trajectories from large teacher models provides an effective way to improve the reasoning ability of small language models. However, existin…
- arXiv cs.AIagentsMasked Diffusion Language Agents for Tool-Integrated Chemical Reasoning
arXiv:2610.13330v1 Announce Type: new Abstract: Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge. Although recent chemical agents have demonstrated promising pe…
- arXiv cs.AIresearchAlphaNIST: Emergent Assembly Skills from Binary Task Rewards
arXiv:2610.13354v1 Announce Type: new Abstract: The NIST Assembly Task Board #1 remains a challenging benchmark for learning-based methods in robotic manipulation. Over short horizons, it demands precise, contact-rich co…
- arXiv cs.AIagentsSWE-Critix: Post-Training Generalist Verifiers for Assessing Coding-Agent Trajectories
arXiv:2610.13356v2 Announce Type: replace Abstract: Coding agents are increasingly deployed for end-to-end software engineering tasks, where a readily available oracle evaluator that defines the success criteria is often…
- arXiv cs.AIresearchRegulaTutor: A Theory-Informed Framework for Long-Term Personalized Learning
arXiv:2610.13399v1 Announce Type: new Abstract: Long-term personalized tutoring requires language models to translate a learner's evolving history into appropriate instructional support. Existing LLM-based tutoring syste…
- arXiv cs.AIagentsWeb$hell: A Unified Interface for Agentic Web Access
arXiv:2610.13416v1 Announce Type: new Abstract: Large language model (LLM) agents are becoming direct users of the open web. As they take on increasingly complex and information-intensive tasks, effective web access is b…
- arXiv cs.AIresearchLocal Diagnostics of Learned Event Representations for Anomaly Detection at the HL-LHC
arXiv:2610.13437v1 Announce Type: new Abstract: Anomaly detection, the identification of collision events that deviate from Standard Model expectations, is one of the most promising model-agnostic strategies for new-phys…
- arXiv cs.AIagentsRollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy Limits
arXiv:2610.13438v2 Announce Type: replace Abstract: Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and tool-use in intera…
- arXiv cs.AIagentsAgentic Large Language Models
arXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has made them a favorit…
- arXiv cs.AIresearchSqueezeBench: Saturation-Resilient Evaluation of Mathematical Capability
arXiv:2610.13461v1 Announce Type: new Abstract: AI systems are making rapid progress in mathematics, but this progress is hard to measure. Benchmarks of solved problems saturate, and in benchmarks of open problems each p…
- arXiv cs.AIagentsA Local Agentic AI Framework to Generate Edge Case Scenarios for Safety Assurance
arXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase system reliability an…
- arXiv cs.AIresearchBranching On-Policy Distillation
arXiv:2610.13481v1 Announce Type: new Abstract: On-policy distillation (OPD) provides teacher supervision on student-generated trajectories, but a single trajectory realizes only one continuation at each decision, limiti…
- arXiv cs.AIagentsHumanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits
arXiv:2610.13494v1 Announce Type: new Abstract: Existing LLM-based agent approaches for long-horizon machine learning engineering (MLE) often use context engineering, implemented through custom harnesses that manage tool…
- arXiv cs.AIresearchRetrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical Prognosis
arXiv:2610.13510v1 Announce Type: new Abstract: Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRISM (Population-Retri…
- arXiv cs.AIresearchCausal Effect Identifiability in Causal Abstractions: A Strict Hierarchy of Criteria
arXiv:2610.13520v1 Announce Type: new Abstract: Identifying causal effects from observational data typically requires a fully specified causal graph, an assumption that is often unrealistic in complex or high-dimensional…
- arXiv cs.AIresearchBeyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation
arXiv:2610.13521v2 Announce Type: replace Abstract: Multi-teacher on-policy distillation (MOPD) extends on-policy distillation (OPD) by routing domain-specific data to specialized teachers, integrating their capabilities…
- arXiv cs.AIagentsMAGMA-Bench: Evaluating Long-Horizon Embodied Agents under Dynamic Tasks and Execution Failures
arXiv:2610.13534v1 Announce Type: new Abstract: Long-horizon embodied agents must maintain task-relevant information, coordinate heterogeneous robots, and adapt their decisions as execution unfolds. Existing benchmarks i…
- arXiv cs.AIresearchConstructing Pareto Frontiers of Optimal Reasoning Termination Methods for Overthinking in Reasoning Models
arXiv:2610.13570v1 Announce Type: new Abstract: Reasoning models can benefit from test-time scaling, but continued reasoning may become ineffective or harmful, a phenomenon termed overthinking. Evaluations against full t…