PyBench: Evaluating LLM Agent on various real-world coding tasks Paper • 2407.16732 • Published Jul 23, 2024 • 2
ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding Paper • 2508.21496 • Published Aug 29, 2025 • 56
Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback Paper • 2602.02369 • Published Feb 2 • 2
EVA: Efficient Reinforcement Learning for End-to-End Video Agent Paper • 2603.22918 • Published Mar 24 • 44
EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales Paper • 2605.11136 • Published May 11 • 12
MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning Paper • 2605.14212 • Published May 14 • 19
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Paper • 2605.24202 • Published May 22 • 18
EvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement? Paper • 2610.04184 • Published 24 days ago • 20