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Noticias de IA

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arXiv cs.AI Research & Papers
Behavior and Representation in Open-Weight Large Language Models for Combinatorial Optimi…
arXiv cs.AI Research & Papers
Towards Human Motion World Models via Executable Behaviour Representations
arXiv cs.AI Research & Papers
Tools as Continuous Flow for Evolving Agentic Reasoning
arXiv cs.AI Research & Papers
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
arXiv cs.AI Research & Papers
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
arXiv cs.AI Research & Papers
Explainability in Practice: A Survey of Explainable NLP Across Various Domains
arXiv cs.AI Research & Papers
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coher…
arXiv cs.AI Research & Papers
Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Ag…
arXiv cs.AI Research & Papers
Adaptive Hybrid Particle Swarm Optimization with Gradient Descent
arXiv cs.AI Research & Papers
Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonom…
arXiv cs.AI Research & Papers
TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy F…
arXiv cs.AI Research & Papers
Detecting a Route Flip Is Easier Than Knowing Whether to Fix It: Causal Route-Mediated Da…
arXiv cs.AI Research & Papers
AutoWorldModel-Bench: A State-Centric Benchmark for Automated World-Model Research
arXiv cs.AI Research & Papers
Harnessing agent memory to build lifelong AI partners for materials scientists
arXiv cs.AI Research & Papers
Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv cs.AI Research & Papers
Identity from the Outside: A Conceptual Framework and Research Program for AI Personality…
arXiv cs.AI Research & Papers
Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM T…
arXiv cs.AI Research & Papers
Pretraining large language models with MXFP4 on Native FP4 Hardware
arXiv cs.AI Research & Papers
Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
arXiv cs.AI Research & Papers
Deployment Decision Reliability: A Generalizability-Theory Framework for Sizing Long-Hori…
arXiv cs.AI Research & Papers
Can Frontier LLMs Match Natively Multimodal Embeddings? A Comparison on Hard-Negative Tex…
arXiv cs.AI Research & Papers
From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European L…
arXiv cs.AI Research & Papers
From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evalua…
arXiv cs.AI Research & Papers
When Self-Consistency Backfires: Majority Vote Hurts the Majority of Hard Science Problem…
arXiv cs.AI Research & Papers
Social Chain of Thought: A Multi-Agent Architecture Grounded in Medical Differential Diag…
arXiv cs.AI Research & Papers
A Modular Agentic Framework for Synthetically Constrained Multi-Objective Hit-to-Lead Opt…
arXiv cs.AI Research & Papers
Localizing Safety Alignment: MLP Layers and Mid-Network Blocks Encode Refusal Behavior in…
arXiv cs.AI Research & Papers
CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications
arXiv cs.AI Research & Papers
Making AI-Generated Feedback Matter: From Provision to Student Enactment
arXiv cs.AI Research & Papers
MBA: Multimodal Benchmark and Agents for Real-World Business Ideation