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Noticias de IA

29666 elementos — filtrados, clasificados y sin duplicados

Todos Models & Releases Research & Papers Funding & M&A Policy & Regulation Product Launches Industry Moves Developer Tooling Opinion & Editorial Security & Safety Other
arXiv cs.AI Research & Papers
ACE-GraphRAG: Agentic Context Engineering for Hierarchical GraphRAG
arXiv cs.AI Research & Papers
Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints
arXiv cs.AI Research & Papers
Riemannian Attention Mechanisms for Transformers: A Theoretical Framework and Architectur…
arXiv cs.AI Research & Papers
Stop When Memory Suffices: Evidence-Conditioned Progressive Execution for LLM Agents
arXiv cs.AI Research & Papers
Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social…
arXiv cs.AI Research & Papers
PAC Approximation and DIRECT Optimization for Parametric Markov Models
arXiv cs.AI Research & Papers
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
arXiv cs.AI Research & Papers
Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning
arXiv cs.AI Research & Papers
Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test
arXiv cs.AI Research & Papers
Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Aut…
arXiv cs.AI Research & Papers
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for …
arXiv cs.AI Research & Papers
MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents
arXiv cs.AI Research & Papers
EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
arXiv cs.AI Research & Papers
Evolving in the Agent Jungle via History-Informed Opponent Awareness
arXiv cs.AI Research & Papers
ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal Reaching
arXiv cs.AI Research & Papers
Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation
arXiv cs.AI Research & Papers
Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML…
arXiv cs.AI Research & Papers
Cooperative Coevolution for Resource-Constrained Agentic LLM Post-Training
arXiv cs.AI Research & Papers
MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG
arXiv cs.AI Research & Papers
Long-Horizon Autonomous Architecture Research with a Language-Model Agent: A Behavioural …
arXiv cs.AI Research & Papers
Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models
arXiv cs.AI Research & Papers
EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensin…
arXiv cs.AI Research & Papers
Understanding Online Failure Prediction in Linux Through Complementary Multi-View Explain…
arXiv cs.AI Research & Papers
Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to …
arXiv cs.AI Research & Papers
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning
arXiv cs.AI Research & Papers
FOCUS: FP4 Optimization via Coupled-Relaxation and Dual-Granularity Scaling
arXiv cs.AI Research & Papers
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
arXiv cs.AI Research & Papers
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
arXiv cs.AI Research & Papers
Coverage-Driven Adaptive Keyframe Selection for Video Understanding
arXiv cs.AI Research & Papers
CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Coc…