Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes Paper • 2605.05724 • Published 2 days ago • 11
Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes Paper • 2605.05724 • Published 2 days ago • 11
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks Paper • 2604.20087 • Published 17 days ago • 15
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks Paper • 2604.20087 • Published 17 days ago • 15
Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines Paper • 2604.01029 • Published Apr 1 • 8
Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines Paper • 2604.01029 • Published Apr 1 • 8
Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines Paper • 2604.01029 • Published Apr 1 • 8
Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests Paper • 2601.17617 • Published Jan 24 • 4
GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery Paper • 2601.19149 • Published Jan 27 • 2
GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery Paper • 2601.19149 • Published Jan 27 • 2
GPCR-Filter: a deep learning framework for efficient and precise GPCR modulator discovery Paper • 2601.19149 • Published Jan 27 • 2
Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests Paper • 2601.17617 • Published Jan 24 • 4
Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests Paper • 2601.17617 • Published Jan 24 • 4
Less LLM, More Documents: Searching for Improved RAG Paper • 2510.02657 • Published Oct 3, 2025 • 3 • 2