1701AudioTETRIS: 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
1702SWE-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
1703Model-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
1704SelectArena: 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
1705Pretraining 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
1706Inject 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
1707Not 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
1708Variance-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
1709Calibration 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
1710Amortized Counterfactual Prediction with Graph Neural NetworksarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1711LAPT-Scale: Scaling Embodied Policies with Latent Action Pre-Training on Human VideosarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1712Orthros: Phase-Aware Heterogeneous Attention for Efficient TransformersarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1713SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1714Matched-Context Group Policy Optimization for LLM Agent TrainingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1715When Edge Independence Fails: Joint Graph Diffusion with Latent Sociability PriorsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1716DualQuant: Dual-scale Calibration-free Weight-and-Activation Quantization for LLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1717ReplaySSM: Cache SSM Inputs, Not StatearXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1718Your Discrete Graph Diffusion Model is Secretly MemorizingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1719FORTE: A Production Framework for Feature Evaluation and Deprecation in Industrial Recommender SystemsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1720Same Query, Different Answer: Run-to-Run Variance in Semantic Query ProcessingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1721MC-EvoBench: Auditing Experience-Driven Self-Improvement in Minecraft AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1722SpatialASM: Internalizing Active Mentalization for Spatial ReasoningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1723Task Context Shapes Component Roles in Language ModelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1724Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early StoppingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1725Hide and Seek: HIDE Concepts to SEEK explanations for black box modelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1726From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social SimulationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1727DeltaLLM: Delta-Key Sparse Attention for Edge LLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1728Global Consistency Repair for Natural-Language Claim SetsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1729CoMMa: Contribution-Aware Medical Multi-Agents for Decentralized Oncology Decision SupportarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1730AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk EvaluationarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1731NeuronSpark: Selective Spiking State Space Models with Adaptive Computation for Language ModelingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1732DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language ModelsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1733Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost ReasoningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1734FactoryBench: Evaluating Industrial Machine UnderstandingarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1735UxSID: Semantic-Aware User Interests Modeling for Ultra-Long SequencearXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1736MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge GraphsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1737When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1738From SGD to Muon: Adaptive Optimization via Schatten-p NormsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1739MPMMine: Better Benchmarks for Constraint AcquisitionarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1740Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1741EvoDrive: Pareto Evolution for Safety-Critical Autonomous Driving via Self-Improving LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1742The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1743Agents' Last ExamarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1744Do More Agents Help? Evaluating Accuracy and Cost in LLM Multi-Agent WorkflowsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1745Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill MemoryarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1746TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded ExplainabilityarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1747Hierarchical Experimentalist AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1748Agent Step Value: Auditing Evaluation-Channel Sensitivity in Black-Box Agent TracesarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1749Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?arXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle
1750MIRROR: Learning from the Other View for Multi-Modal ReasoningarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 13/10/2026, 4:00:00·detalle