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Noticias de IA

30716 elementos — filtrados, clasificados y sin duplicados

arXiv cs.AI Research & Papers
AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs
arXiv cs.AI Research & Papers
Detecting and Controlling Sycophancy with Cascading Linear Features
arXiv cs.AI Research & Papers
Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs
arXiv cs.AI Research & Papers
On-board Remote-Sensing Foundation Models for Unsupervised Change Detection of Disaster E…
arXiv cs.AI Security & Safety
ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP
arXiv cs.AI Research & Papers
State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading
arXiv cs.AI Research & Papers
Parametric Open Source Games
arXiv cs.AI Research & Papers
Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
arXiv cs.AI Security & Safety
Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities In…
arXiv cs.AI Research & Papers
Application of LLMs to Threat Assessment of Foreign Peacekeeping Missions
arXiv cs.AI Research & Papers
Heavy-Ball Q-Learning with Residual Weighting Correction
arXiv cs.AI Research & Papers
Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd o…
arXiv cs.AI Research & Papers
CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention
arXiv cs.AI Research & Papers
Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-S…
arXiv cs.AI Security & Safety
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Commu…
arXiv cs.AI Research & Papers
Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy
arXiv cs.AI Research & Papers
E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation
arXiv cs.AI Research & Papers
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Util…
arXiv cs.AI Research & Papers
Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching
arXiv cs.AI Research & Papers
Error-Conditioned Neural Solvers
arXiv cs.AI Research & Papers
Autoregressive Boltzmann Generators
arXiv cs.AI Research & Papers
Human-AI Complementarity: A Goal for Amplified Oversight
arXiv cs.AI Research & Papers
SciFig: Towards Automating Editable Figure Generation for Scientific Papers
arXiv cs.AI Research & Papers
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
arXiv cs.AI Research & Papers
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
arXiv cs.AI Research & Papers
Tuning Language Models by Mixture-of-Depths Ensemble
arXiv cs.AI Research & Papers
DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
arXiv cs.AI Research & Papers
Learning to Select Maximum Clique Algorithms: From Traditional Machine Learning to a Dual…
arXiv cs.AI Research & Papers
Reconstruction Alignment Improves Unified Multimodal Models
arXiv cs.AI Research & Papers
Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Genera…