901Ontology 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
902Tool-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
903AI-Driven Disaster Response and Displacement MonitoringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
904FlashAttention 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
905MetaExp: 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
906ISW-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
907Decomposing 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
908QREF: 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
909SCRIBE: 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
910CriticaLLM: Using LLMs as Autonomous Game Master for Tabletop Role-Playing GamesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
911Functional Subnetwork Localization for Efficient Continual Learning in Large Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
912Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
913Reinforcement Learning-driven Diffusion Models: Language, Vision, and BeyondarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
914ClaimScope: Label-Blind Witness Verification for Mathematical Claim AuditingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
915LOADBench: A Large Open Analog Dataset and Benchmark for Machine Learning in IC DesignarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
916LoopAhead: Speculating Ahead for Faster Decoding in Looped Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
917Evaluating Inquiry Learning in LLM-Based Agents: Hypothesizing, Reasoning, and ExplorationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
918Learning Intrinsic Dynamics in Latent World ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
919AgentPerturb: Evaluating LLM Agent Robustness under Controlled Interaction PerturbationsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
920The Self-Improvement ProblemarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
921Data World: Scaling Data Environments from ScratcharXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
922In-Context Preference-Conditioned Pareto Set Learning from Limited Offline DataarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
923DeciCAD: Harness-Grounded Learning of Action Policies for CAD AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
924From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics ResearcharXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
925RSIFlow: Adaptive Self-Improvement Workflows with an Evolving Meta-AgentarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
926Co2In: a Bi-level Memory Incremental Learning Framework with Knowledge Encoding, Consolidation, and IntegrationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
927CIM-Embed: Learning Instruction-Conditioned Multimodal Embeddings for ClusteringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
928RoleQ: Role-Aligned Scales for Converting Language Models to TernaryarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
929CoWorld Reasoner: Agentic Multimodal Reasoning with the Evolving Video World Model-Driven HarnessarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
930OntoAct: Hypothesis-Based Neuro-Symbolic Agents through Ontological AbstractionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
931CARA: Causally Guided Retrieval Agent for Question AnsweringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
932GraphACM: Graph-based Action Consistency Measurement for Uncertainty Quantification in LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
933Progress Reward Model for Reinforcement Learning via Large Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
934FAOPs: Normal Forms and an Algebra for AI Agent WorkflowsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
935Prism-1: Position- and Rival-Independent Scoring for System One ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
936When Reasoning Is Not Enough: Proactive Inquiry for Cross-Modal Safety in Multimodal Large Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
937Learning from Unverified Peers via Shared Residual DistillationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
938PROBE: Learning to Audit Policy Compliance in Tool-Using LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
939DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache EvictionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
940CART: Compatible Routing for Multimodal Continual Instruction TuningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
941Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM DiscussionsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
942Are You Sure Your LLM Is Sure? Repairing and Auditing ConfidencearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
943RAG-RST: Retrieved Exemplars as In-Context Discourse Schema for RST ParsingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
944Realtime-Bench: Can Frontier Models Solve Real-time Interactive Problems?arXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
945Multi-sourced AI Tutor for Non-Native English Speaker StudentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
946Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-RefinearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
947AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-TuningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
948HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent OrchestrationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
949GNN-Guided Local Refinement for Efficient Layout Decomposition with DSA-MParXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
950Shortcut Sensitivity in Agent-Safety EvaluationsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle