51From Natural Language to Real Schematics: An Automated Workflow for Power Electronics Schematic SynthesisarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
52GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal DevicesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
53Disparity Laundering: Consensus Without Fairness in Clinical Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
54Rubricon: Automated Rubric Generation and Refinement for LLM Evaluation and TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
55FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous EvidencearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
56Verification-Guided Retrosynthesis: Reaction Feedback and Evidence TimingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
57Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking GamesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
58Game-Theoretic Foundations for Undiscounted Bisimulation MetricsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
59CHORD: Cross-Model Hallucination Detection via Relational Graph DiscriminationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
60Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability StudyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
61Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
62Encode Once, Answer Many: Internalizing Context via Parametric FlowarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
63Compute Has Shape: Self-Morphing the Internal Computation of Frozen LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
64SCOPE: Selective Critical-Step On-Policy Self-Distillation for Agentic Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
65Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
66Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic WebarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
67Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AIarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
68Predict the Reward, Not the World: World Reward Models for ML AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
69DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event SequencesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
70Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-FollowingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
71Value Probes: Learned Value Functions for Beam-Search Red TeamingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
72From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers BelievearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
73An Alignment Benchmark for Enterprise Agents on Era by EonarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
74PT$^3$: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud RepresentationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
75Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended GenerationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
76A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-ImprovementarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
77CALM: Conflict-Aware Lifecycle Memory Governance for Long-Horizon Language AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
78Think Before You Act: Decision Gate for LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
79Right Numbers, Wrong Questions: Evaluating LLMs on Underspecified Financial QueriesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
80"Close enough?" An investigation into multiplication errors in LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
81Curriculum-Based Deep Reinforcement Learning for Robust Autonomous Rocket Landing under Atmospheric UncertaintyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
82Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
83Deogen: Automatic Benchmark Generation for Reasoning over PoliciesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
84Beyond fabrication: Misattributed numbers in papers written by AI research agentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
85From Grind to GrasparXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
86Leaving, Staying, or Living There? Duration Commonsense Reasoning with Human-LLM Co-annotationsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
87Learning to Reason from Reference Samples Alone: Reinforced Adversarial Learning for Modern LLM Post-TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
88Where You Inject Matters: The Trust Region Effect in LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
89Auditable Belief Updates as a Missing Safety Layer for LLM-Powered Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
90Aligning Autoresearch: Co-Improvement between Agents and HumansarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
91TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
92Efficient Agentic Audio-Visual Question Answering through Toolset Pruning and Modality ConsolidationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
93Dungeons & Dragons Encounter Analysis with Semi-Random Simulation in Foundry VTTarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
94Context Compaction for World ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
95Syntactic Segmentation and Collage Generation for Videogame Levels with Perceptual DistancearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
96Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting HemodynamicsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
97Formal Specifications with Data-Driven Signal AnalysisarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
98When Should AI Decide, Defer, and Deviate? Responsible Automation for Deceased Donor Kidney AllocationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
99When the Same Prompt Gives Different Answers (and the Same Answer Isn't Always Right): A Taxonomy of Failure Mechanisms, Testing, and Mitigation Strategies for LLM-Assisted Evidence Synthesis Read-an…arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
100Certified Access: Test-Time Compute on Conservative Physics-Structured AI MemoryarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle