851Learning When to Withdraw: Curriculum Coverage and Rule-Specific Failures in Fine-Tuned Language AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
852Athanor: An Agent-Native System for Autonomous Post-Training ResearcharXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
853OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformaticsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
854Sci$\Pi$vot: Benchmarking Principal-Investigator Judgment at Pivotal Moments of Scientific AutoResearch AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
855Probe-and-Resume: When and How to Evaluate Agent ExecutionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
856MemComposer: Learning to Assemble Memories for LLM Agents via Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
857Planning Commitment of LLM under Partial ObservabilityarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
858Kolab: Benchmarking Human-Agent Collaboration in Long-Horizon WorkflowsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
859CleanRM: Reward Modeling from Noisy Feedback with a Few Clean Feedback for RLHFarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
860All-in-One Memory: Process-Rewarded Reinforcement Learning for Memory AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
861GRADS: Graph-Regulated Agentic Data Synthesis with Controllable DifficultyarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
862MemScope: Evolving Agent Memory Architectures through Localized Code RepairarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
863AgentEval: Evidence-Bounded Assessment of Stateful AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
864Does Latent Chain-of-Thought Actually Reason? A Single, Unifying Taxonomy for Latent ReasoningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
865Mine, Sample, Render: Test-Time Diversity Alignment Of Generative ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
866Condition-Contrastive Extrapolation for On-Policy Distillation of Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
867Who May Release an Agent's Promise? Standing over Commitments in Multi-Party ChatarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
868Entertain, then Cancel: How Thinking Makes Reasoning Models Read Some and Or LiterallyarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
869Rubric Judgments Lack Uncertainty: Conformal Weighting for LLM EvaluationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
870AutoOnboarder: Autonomously Onboarding LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
871Auditing Escalation Reliability in Healthcare LLM Agents: A Perturbation-Controlled Benchmark of Workflow-State FailuresarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
872Diviner: Agentic RCA with Human-Governed Adaptation for Large-Scale InfrastructurearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
873Mallea: Building, Steering, and Memorizing Worlds with Coding AgentarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
874The Density of Thought: Predicting and Steering Reasoning in Large Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
875Bias Control and Injection for Multi-Agent AggregationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
876Money-Mule Detection as a Relational Learning Problem: A Study on the RBIH NFPC DatasetarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
877Constrained Multi-Agent Reinforcement Learning in ImaginationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
878DocPilot: Interactive Agent Orchestration and Training for Long Visual Document UnderstandingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
879Quantum Versus Classical Machine Learning for Neuropsychiatric Disorders: A Feature-Matched Multi-Cohort EvaluationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
880ARGUS: An Agenda-Driven Framework for Reliable User SimulationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
881FedSkillGit: Federated Skill Evolution via Version ControlarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
882Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality DocumentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
883Learning to Reason with Selective Internal FeedbackarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
884Self-Guided LLM Reasoning for Error Diagnosis in Vehicle Routing ProblemsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
885Watts If? A Benchmark for Counterfactual Reasoning About the AI Data Center BuildoutarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
886MemCut: Every Secret Leaves a Trail in the Long-Term Memory of LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
887Jev-LiteMAS: Separating Decisions from Generation in Multi-Agent WorkflowsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
888JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
889Do Agents Need a New Kind of Paper? SPRA: Structured Paper Representation for AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
890Learning from Interaction Experience via Localized Context DistillationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
891Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care PredictionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
892Ontology Refinement with Embeddings and LLMs: A Case Study on CASTONarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
893Tool-Augmented Large Language Models for Reliable Medical Calculation from Patient NotesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
894AI-Driven Disaster Response and Displacement MonitoringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
895FlashAttention with Statistics: Low-Overhead Attention Features for Compact Hallucination DetectorsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
896MetaExp: Learning to Self-Improve through Experience via Verifiable Cross-Task Environment ScalingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
897ISW-Agent: Integrating LLM-Driven Dialogue with n8n Workflow for Internal Solitary Wave Remote Sensing Image ProcessingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
898Decomposing Brain-LLM Alignment with Interpretable Semantic RepresentationsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
899QREF: Improving DeepSearch Agents by Aligning Search with Reasoning via Query Refinement and Evidence FilteringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
900SCRIBE: Scalable Contextual Representations of Interpretable Brain-Grounded SemanticsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle