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Noticias de IA

30934 elementos — filtrados, clasificados y sin duplicados

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arXiv cs.AI Research & Papers
EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffi…
arXiv cs.AI Research & Papers
Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation…
arXiv cs.AI Research & Papers
Probabilistic Extension of Neuro-Symbolic AGI Robots based on Belnap's Typed Intensional …
arXiv cs.AI Research & Papers
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantizatio…
arXiv cs.AI Research & Papers
Audited Selective Verification for Risk-Controlled N-1 Thermal Contingency Screening unde…
arXiv cs.AI Research & Papers
Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents
arXiv cs.AI Research & Papers
The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Ne…
arXiv cs.AI Research & Papers
Music-to-Dance Generation via Atomic Movements
arXiv cs.AI Research & Papers
Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science
arXiv cs.AI Research & Papers
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
arXiv cs.AI Research & Papers
Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases
arXiv cs.AI Research & Papers
How Far Can Root Cause Analysis Go on Real-World Telemetry Data?
arXiv cs.AI Research & Papers
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment f…
arXiv cs.AI Research & Papers
Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profili…
arXiv cs.AI Research & Papers
AI advice suppresses people's willingness to say "I don't know", even when the advice is …
arXiv cs.AI Research & Papers
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large La…
arXiv cs.AI Research & Papers
STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Orac…
arXiv cs.AI Research & Papers
Explaining Reinforcement Learning Agents via Inductive Logic Programming
arXiv cs.AI Research & Papers
Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic…
arXiv cs.AI Research & Papers
When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Softwar…
arXiv cs.AI Research & Papers
Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning
arXiv cs.AI Research & Papers
Adaptive Filtering of the KV Cache: Diagnosing and Correcting Structural-Role Bias in LLM…
arXiv cs.AI Research & Papers
CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI …
arXiv cs.AI Research & Papers
Experience Memory Graph: One-Shot Error Correction for Agents
arXiv cs.AI Research & Papers
AIMO Interpretability Challenge
arXiv cs.AI Research & Papers
RAGthoven at SemEval-2026 Task 1: A Multi-Stage Pipeline Walks Into a Benchmark and Barel…
arXiv cs.AI Research & Papers
Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
arXiv cs.AI Research & Papers
What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors
arXiv cs.AI Research & Papers
AI-accelerated End-to-End Framework for Rapid Professional Upskilling
arXiv cs.AI Research & Papers
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching An…