551AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked ModelingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
552GUITestScape: Towards Open-set Evaluation on Exploratory GUI TestingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
553Can I Take Another Dose? DoseBench: Evaluating LLM Decision-Making in OTC Dosing QAarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
554Interpretability Is Not Just a Tax: Sparsity and Diversity Yield Legible and Composable Reward Experts for PersonalizationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
555Executable Schema Contracts: From Automatic Ingestion to Multi-Source RetrievalarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
556Self-Augmenting Retrieval for Diffusion Language ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
557Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software EvolutionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
558Characterize Then Distill: Mechanistic Reasoning in Large Output SpacesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
559JANUS: Evaluating Goal-Conditioned Distortion in Factually Grounded LLM CommunicationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
560Test-Time Gradient Guidance of Flow Policies in Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
561Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement TrainingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
562Evaluating the Robustness of Proof Autoformalization in Lean 4arXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
563EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge SummariesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
564Improving Human-Robot Teamwork in Urban Search and Rescue Through Episodic Memory of Prior CollaborationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
565TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind SearchesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
566Reinforcement learning to improve large language model-based automated code compliance systemsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
567The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model PanelarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
568Representation and Reference Selection in Training-Free Synthetic Image AttributionarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
569Calibrated Selective Prediction Using Deep Ensembles for ROI-Based Thyroid Nodule Ultrasound Classification Under Dataset Shift: A Retrospective EvaluationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
570Real-World Evaluation of an AI Agent Drafting Translational Impact SummariesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
571Riemannian Deep Learning: Modules, Networks, and GeometriesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
572GUEST: Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature ReviewsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
573How Do Developers Edit AI-Generated Code, and How Well Do LLMs Infer Their Edits? Insights from 53.6K Developer EditsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
574dots.tts.edit: Precisely Controlled Speech Editing with a Continuous Autoregressive ModelarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
575Wiring Beats Blending: Structure-Aware Compensation for Transformer DownscalingarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
576Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon TrajectoriesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
577KumbhDoot: A Scale-Ready, LLM-Bounded Architecture for Mass-Gathering Public-Service AssistantsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
578Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction TracesarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
579Decodable but Not Actionable: Auditing the Representation-Behavior Gap in Frozen LLMs for Geometric ConstraintsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
580Evidence-Gated Task and Motion Planning with Vision-Language ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
581Rebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures RevealarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
582GlanceWAM: Sparse Test-Time Imagination for World-Action ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
583Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World DeploymentarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
584OutageDiT: A Foundation Model for Power Outage Forecasting and Scenario GenerationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
585The Direction of Ignorance: LLMs Encode and Temper a Unigram PriorarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
586Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence GraphsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
587Mapping the Emerging Social Science of Large Language ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
588Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop DiscoveryarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
589Learning Multimodal One-step Flow Policy via Value-weighted Optimal TransportarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
590Iterative Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward FeedbackarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
591Adaptive hybrid coupling with operator inference, the overlapping Schwarz alternating method and reinforcement learningarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
592Whom Do AI Agents Serve? Role-Induced Sponsorship Bias in Decision Models and Generative LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
593Learning and Transferring Closed-Loop Robot SoftwarearXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
594Past, Future, All at Once: Mitigating Stability-Plasticity Dilemma via Post-hoc JANUS RectificationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
595Blind Thermodynamic Ontology Discovery from Anonymous ExperimentsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
596FeatLens: Feature-Guided Dependency Retrieval for Repository-Level Code GenerationarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
597Controlled Decoding Attacks on Black-Box LLMsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
598Evaluating and Benchmarking the System One Model JevarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
599BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline SignalsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle
600CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language ModelsarXiv cs.AI·arxiv.orgAgregado: 31/10/2026, 11:00:46·Publicado: 31/10/2026, 4:00:00·detalle