Preprint
Aug 2026
Evo-Bench: Can Language Models Improve Agent Harness?
Evo-Bench is the first benchmark designed to evaluate models'intrinsic harness-evolving capabilities across Search, Office, and General agent domains, and exposes critical temporal anomalies like early saturation, while demonstrating that the synthesized harnesses act as highly transferable reasoning structures, consistently boosting diverse policy models.
Lisheng Huang, Chen Yang, Hao Zhou et al.
· 2 citations