EvoIn: Bridging Evolution and Internalization for Agent Fine-Tuning
EvoIn is an agent fine-tuning framework that bridges evolution and internalization, and consistently enables agents to learn stronger decision-making procedures, raising the pass rate by 10.9 points in-domain and by 9.2 points out-of-domain.
Shi-Han Dou, Shao-Hua Liu, Zhong-Hang Lu et al.
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