301Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
302Distilling the Shape of Uncertainty: What On-Policy Distillation Learns and How to Predict ItarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
303Representation Complexity Along Learning Trajectories: Trading Width for Precision and TimearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
304Reinforcement Learning for the Game of Balatro: A Fast Simulator and Two-Policy Training ApproacharXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
305When Does Closed-Loop Curriculum Adaptation Help GRPO? An Analysis on CountdownarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
306HERA: Assessing an Autonomous Agent for Quantum Device MeasurementarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
307Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data CollectionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
308Generating Critic-Guided Synthetic Experience in Latent World ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
309PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent CommunicationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
310From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent DiffusionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
311Appreciation Teaches Unauthorized Execution: Self-Evolution Degrades the Robustness of Personal Agents to Indirect Prompt InjectionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
312Clean Sheets and Checkpoints: Evidence Complexity for Certifying Sequential Agent RiskarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
313REALM: Identifying Minimal Task Assets for LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
314PRISM: Personalized Item Representations in User HistoryarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
315EmbodiExp: Compositional Experience Transfer for Embodied AgentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
316Where Position Matters: Profiling-Guided Layer-Wise RoPE Allocation in TransformersarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
317DeCoRL: Decomposed Consistency Reinforcement Learning for Multi-Image CompositionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
318WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale PretrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
319There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k PricearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
320Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE InferencearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
321Telling Is Not Seeing: Textual Personas Rarely Make Vision-Language Models Answer Like the People They DescribearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
322RetroChessBench: A Benchmark for Reconstructing and Proving Chess HistoriesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
323Semantic Mismapping in Generalized Category Discovery: Evaluation and MitigationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
324Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
325What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item DifficultyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
326Learning to Formulate: Agentic Hardware-Software Co-Design of AI Infrastructure through Progressive Optimization and VerificationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
327UMI-Live for In-The-Wild Bimanual Robotics Data CollectionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
328OPERA: OPamp Design by an Expert-Taught Reasoning Agent, from Specifications to LayoutarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
329SymKL: A Unified Representation-Space Measure of Signal DegradationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
330Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging ConvergencearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
331Well-Specified and Well-Tested? Assessing SWE-bench-Style Datasets with a Self-Evolving AgentarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
332FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet LossarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
333Sparse Fine-Tuning for Parameter-Efficient Adversarial TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
334Integrating Heterogeneous Echocardiography AI Outputs in Language Space: Learnable Late Fusion with a Supervised LLMarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
335Soei: Structured Observability of Evidence and Intent for Multi-Agent AI Software EngineeringarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
336Agent-Wise Test-Time Normalization for Camera-Based Cooperative Perception with Corrupted CollaboratorsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
337Judging Before Propagation: Task-Graph Contextual Integrity for Multi-Agent PrivacyarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
338Raincheck: Deferred Multimodal Prefill for Efficient Multi-Turn MLLM InferencearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
339LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop EvaluationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
340Generative artificial intelligence prompting strategies among Chinese university students across academic tasksarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
341Red-Teaming Large Language Models in Low-Resource African Languages: A Case Study of Yoruba and Nigerian PidginarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
342Data Provenance and Ethics in the Curricula of U.S. Health AI Education ProgramsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
343Intrinsic Distribution MatchingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
344Where Do Vision Language Models Fail at 3D Reasoning?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
345Rebuilding a Field's Open-Problem Catalog from the Literature: A Two-Layer Knowledge Graph, and Why Status Must Stay ProposedarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
346Event-SAMA: Language-Grounded Video Object Segmentation on Neuromorphic Event StreamsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
347Can AI Agents Interface Clinicians and Complex Models?arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
348Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero LabelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
349Practical Assessment of Agentic Systems in AcousticsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle
350Sandman: Building and Operating Sandboxes for Agentic Reinforcement Learning on Shared KubernetesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 7:01:09·Publicado: 31/10/2026, 4:00:00·detalle