1051Independent Data-Integrity Verification for LLM-Driven Functional Coverage Closure in Hardware DesignarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1052Rethinking the Role of Tool Graph Memory in Multi-Turn Tool UsearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1053Learning to Search for Executable Patternmaking from Certified ProgramsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1054AVALON: Zero-Shot Indoor Navigation with Human-Seeded Topological MemoryarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1055Decoding What iOS Location Services Send to Apple: An LLM Is an Unreliable Analyst but a Useful ToolmakerarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1056Qwen-Audio-Jev: A Unified Interface for Audio DecisionsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1057Efficient Pairwise Difference Learning: A Comparative Study of Encoding Strategies and Training Pair SelectionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1058Router Drift Control: Mitigating Off-Policy Degradation in Mixture-of-Experts Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1059Human Interventions as Labels: Localizing, Steering, and (Sometimes) Editing the Computations Behind LLM Agent FailuresarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1060Encoded but Exposed: Language Embeddings can Reveal More Than They Should in Recommender SystemsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1061FIRM: Fisher-Informed Retention Merging for Federated LLM UnlearningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1062Retrieved but Not Read: Understanding Why Search-Augmented LLMs Fail to Use Available EvidencearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1063Reliable Knowledge Acquisition for Continual Learning AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1064The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric GovernancearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1065Harmful Partial Interventions and Benign Leakage in Concept-based ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1066CF-AVSS: A Coarse-to-Fine Audio-Visual Speech Separation Framework with Target-Speaker Refinement and Post-Fusion for Real-World AVSE ChallengearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1067DINO-FIL: Multi-Layer Transformer Fusion for Generative Inpainting Forgery LocalizationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1068In the Guise of Correction: How Framing and Cultural Adaptation Erode LLM Safety on Real-World Criminal CasesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1069Cross-Embodiment Causal Transfer from Human Videos to Robot ManipulationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1070Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty EquivalentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1071Anvil: Scaling Embodied Spatial Intelligence through Knowledge RecirculationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1072In-Context Learning Before Specialisation: Theory of Learning in a Solvable Topic ModelarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1073Learning Rewards in Strategic GamesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1074CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull RequestsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1075BridgeAfford: Bridging Query-Target Gap for Generalizable 3D Affordance GroundingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1076Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference ElicitationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1077Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AIarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1078Why Shallow Neural Networks Learn Sinusoidal Components First: An Orthogonal Polynomial Dynamics FrameworkarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1079Time to Fake It: Continual Machine Learning Intensifies Unfairness in Deepfake DetectionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1080GraphBEAT: Graph-based Bucketized Event Aggregation Over Time for Early Risk Stratification of Gastrointestinal CancersarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1081Priming Base Models for Agentic Post-Training: An Open Midtraining RecipearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1082DemoStream: Batched Task-and-Motion-Plan Optimization for Automated Learning from DemonstrationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1083Selection Is Not Learning: Choosing Model FuturesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1084Momentum, Commentary Tone, and Earnings Surprise in LLM Financial ForecastsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1085Decoding Naturalistic Speech from fMRI with Temporal Modeling and Multimodal AlignmentarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1086Memory as Weights: Internalizing Long-Term History for Streaming VideosarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1087Multi-SFT: Permissively-Licensed Multilingual Instruction-FollowingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1088TIPS: A Tiny Inference-time Policy for Scaling in Diffusion Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1089Causal Integrated Gradients: Scalable Feature Attribution Along Causal PathsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1090Explaining the Roles of Experts in Mixture-of-Experts LLMs for PersonalizationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1091Specification Gaming and a Constrained Reinforcement Learning Mitigation in a Cleaning GridworldarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1092EMO: A Closed-Loop Test-Time Computation Framework via Alternating Context Optimization and Logits SteeringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1093Mosaic: Multi-Session Agentic Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1094Motion- and Gravity-Aware Feedforward 3D ReconstructionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1095Whole-Body DexterityarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1096Change the Number, Change the Answer: Assessing Rating Scale Sensitivity in LLM-Based Text ScoringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1097Decentralized LLM Workflows via Sequential AuctionsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1098Beyond Downstream QA: Rethinking How We Evaluate Agent MemoryarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1099TRACE: Topology-Aware Reconnection via Prediction-Adaptive Connectivity Enforcement for Thin-Structure SegmentationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
1100Skill-Decoupled On-Policy Expert Distillation for Unified Vision-Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle