EvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement? Paper • 2610.04184 • Published 10 days ago • 20
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Paper • 2605.24202 • Published May 22 • 18
Speculative Pipeline Decoding: Higher-Accruacy and Zero-Bubble Speculation via Pipeline Parallelism Paper • 2605.30852 • Published May 29 • 8
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Paper • 2605.14212 • Published May 14 • 19
EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales Paper • 2605.11136 • Published May 11 • 11
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence Paper • 2507.21046 • Published Jul 28, 2025 • 87