51Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural GenerationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
52AI-Driven Digital Twin Framework for Warehouse Logistics Automation OptimizationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
53Too Hard, Too Easy, Just Right: Performance-Driven Challenge Adaptation in Virtual Reality Firefighter TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
54Post-Training Large Language Models with LLMONarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
55Decompose, Don't Expand: Capability-Independent AI Systems by ConstructionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
56SkillCT: A Multidimensional Benchmark and Execution-Free Baseline for Agent Skill AssessmentarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
57BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge PortfoliosarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
58DecompGym: Benchmarking LLM Agents on Designing Decomposition AlgorithmsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
59Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect DetectionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
60From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic SynthesisarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
61GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal DevicesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
62Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
63Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
64FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous EvidencearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
65Verification-Guided Retrosynthesis: Reaction Feedback and Evidence TimingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
66Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking GamesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
67Game-Theoretic Foundations for Undiscounted Bisimulation MetricsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
68CHORD: Cross-Model Hallucination Detection via Relational Graph DiscriminationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
69Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability StudyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
70Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
71Encode Once, Answer Many: Internalizing Context via Parametric FlowarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
72Compute Has Shape: Self-Morphing the Internal Computation of Frozen LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
73SCOPE: Selective Critical-Step On-Policy Self-Distillation for Agentic Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
74Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
75Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic WebarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
76Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AIarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
77Predict the Reward, Not the World: World Reward Models for ML AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
78DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event SequencesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
79Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-FollowingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
80Value Probes: Learned Value Functions for Beam-Search Red TeamingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
81From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers BelievearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
82An Alignment Benchmark for Enterprise Agents on Era by EonarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
83PT$^3$: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud RepresentationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
84Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended GenerationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
85A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-ImprovementarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
86CALM: Conflict-Aware Lifecycle Memory Governance for Long-Horizon Language AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
87Think Before You Act: Decision Gate for LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
88Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial QueriesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
89"Close enough?" An investigation into multiplication errors in LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
90Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric UncertaintyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
91Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
92Deogen: Automatic Benchmark Generation for Reasoning over PoliciesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
93Beyond fabrication: Misattributed numbers in papers written by AI research agentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
94From Grind to GrasparXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
95Leaving, Staying, or Living There? Duration Commonsense Reasoning with Human-LLM Co-annotationsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
96Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
97Where You Inject Matters: The Trust Region Effect in LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
98Auditable Belief Updates as a Missing Safety Layer for LLM-Powered Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
99Aligning Autoresearch: Co-Improvement between Agents and HumansarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
100TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle