Evolving to Match Capabilities: Improving Harness Self-Evolution via Skill Adaptation
Harness self-evolution offers a practical route for LLM agents to improve from execution experience without updating model parameters. Its effectiveness depends on whether models can successfully act on the guidance provided by their harnesses. However, we find that harness benefits are not uniform across model capabil...
Zhi-Hao Yang, Haojin Wang, Jun-Cheng Wu et al.
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