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