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Noticias de IA

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arXiv cs.AI Research & Papers
PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Pol…
arXiv cs.AI Research & Papers
CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Coc…
arXiv cs.AI Research & Papers
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
arXiv cs.AI Research & Papers
Is More Privileged Information Better? From Solution Traces to Problem-Solving Structure …
arXiv cs.AI Research & Papers
Emergence Invariance: From Symbolized Thought to Interface Refinement
arXiv cs.AI Research & Papers
Control Under Compression: Reliability Frontiers for Tool-Using Agents
arXiv cs.AI Research & Papers
CoEvo-Mem: Co-Evolving Retrieval Policy and Memory Bank for LLM Agents
arXiv cs.AI Research & Papers
Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents
arXiv cs.AI Research & Papers
MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG
arXiv cs.AI Research & Papers
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
arXiv cs.AI Research & Papers
Trust and Its Betrayal under Three Representational Strategies
arXiv cs.AI Research & Papers
Reusing Rollouts under Policy Lag: Prefix-Normalized Policy Optimization for LLM Reinforc…
arXiv cs.AI Research & Papers
Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization
arXiv cs.AI Research & Papers
MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents
arXiv cs.AI Research & Papers
When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Perso…
arXiv cs.AI Research & Papers
Learning to Coordinate Symbolic Tools: LLM Agents for Verified Sum-of-Squares Certificates
arXiv cs.AI Research & Papers
Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving V…
arXiv cs.AI Research & Papers
Inter-Residue Geometry Attention for Antibody-Specific Epitope Prediction
arXiv cs.AI Research & Papers
REFLEX: Rethinking MoE Inference as Refinement-Aware Compute Allocation in Diffusion Lang…
arXiv cs.AI Research & Papers
G-ReAct: Graph-Guided Deep Search via Structure-State Co-Evolution
arXiv cs.AI Research & Papers
CRAFTS: Collaborative Role-Adaptive Fine-Tuning of LLM Agents for Chemical Process Simula…
arXiv cs.AI Research & Papers
CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents
arXiv cs.AI Research & Papers
SearchMaster: Grounded and Regulated Self-Play for Search Agents
arXiv cs.AI Research & Papers
Loud or Silent? A Reusable Framework for Per-Modality Failure Analysis in Multimodal Clin…
arXiv cs.AI Research & Papers
Constructing Executable Analytical Knowledge Representations for Meta-Analysis Synthesis …
arXiv cs.AI Research & Papers
Humans Are More Diverse: Frontier LLMs Show Extreme Policies in Idealised AI Development …
arXiv cs.AI Research & Papers
TrajWiki: Source-Grounded Memory Trajectories for Long-Horizon Dialogue Agents
arXiv cs.AI Research & Papers
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
arXiv cs.AI Research & Papers
CT-PrepAgent: Bounded Policy and Controlled Execution for Adaptive CT Data Preparation
arXiv cs.AI Research & Papers
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning