2201GeoFitBench-LLM: A Benchmark for Assessing Large Language Models' Capabilities in Geospatial Data Requirements Elicitation for Geo-Analytic TasksarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2202Unsupervised Multimodal Reward ModelingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2203KITE: A Knowledge-Injected Temporal Encoder for Time-Series Event ForecastingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2204Trajectory Prediction for Autonomous Driving in Road Construction Zones Using Human-in-the-Loop Driving DataarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2205Semantic Views: Certified Reuse of LLM Labels Across Semantic QueriesarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2206REDaCT: Collapse-Free Unlearning in Large Reasoning ModelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2207Meta-Reflective Evolution Effectively Improves Production AI SystemsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2208Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture SearcharXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2209LeWAM: End-to-End World and Action Modeling with JEPAsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2210COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question AnsweringarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2211When Generative Models Act as SimulatorsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2212Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull RequestsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2213Localized Generative Design of Ship Hulls with Diffusion Models and High-Fidelity AssessmentarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2214Surfing the Activation Wave: Analyzing the Information and Geometry of LLM Hidden States for Speculative DecodingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2215JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2216MotionCoach: Constructing Multimodal Guidance for Video Professional Motion EditingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2217The Evidence Anchoring Boundary: Where Visual Interventions Matter and When They Help in Multimodal LLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2218What Should SFT Learn? Conditional Information Gain for Generalizable Post-TrainingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2219Generalized Proximal Policy Optimization: Unifying LLM RL Algorithms from the Perspective of DivergencearXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2220Don't Guess, Just Ask: Evaluating Interactive Requirement Clarification for Repository-Level Software DevelopmentarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2221GeoGR: Spatial-Semantic Token Compression and Group Routing for Efficient 3D VLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2222CoBe: A Benchmark For Conversational Counterfactual Text EditingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2223Evolving Creatives with Clicks: CTR-Driven Advertising image Editing via Attribute Disentanglement and Preference AlignmentarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2224Continually Post-training Small Models via Synthetic Self-distillationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2225Does Learning Recurrent Networks Matter in Partially Observable RL?arXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2226Beyond Actions: Learning Future Operation Targets for Vision-Language-Action ModelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2227ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step GenerationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2228How Reliable are AMR Parser Outputs? Uncertainty Estimation for AMR ParsingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2229Tabular Foundation Models Are Effectively ShallowarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2230Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market AnalysisarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2231PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-RealarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2232Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with HumansarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2233AgentSWE: Can Coding Agents Build the Agent You Actually Want?arXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2234ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2235In-Context Learning for System Identification: Probabilistic Formulation, Long-Sequence Handling, and Benchmark ValidationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2236CNN-Transformer with Sigmoid Label for High-Resolution Sub-Degree DOA EstimationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2237Collective Autonomous Vehicle Routing Needs Social Awareness for Coexistence with Human DriversarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2238When MLLMs miss what humans read: diagnosing and learning to read squint textarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2239Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2240RESCUE: Is This Alarm Worth Acting On? Counterfactual Evaluation of VLA Runtime MonitorsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2241Defence against the dark arts of distillation: Unsupervised discovery of subliminal learningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2242AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2243SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development LifecyclearXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2244Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging DataarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2245SelectArena: A Modern Benchmark for Feature Selection on Real-world Tabular DataarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2246Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRMarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2247Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-CorrectionarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2248Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic KernelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2249Variance-Reduced Policy Gradient is Nearly Minimax-OptimalarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
2250Calibration in One Go: Jointly Learning Accurate and Calibrated Neural NetworksarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle