StraTune: Adaptive Selection of Revision Operators for Self-Evolving LLM Skills
Large language models (LLMs) can learn reusable textual skills from execution feedback without updating their parameters, but effectively deciding how to revise these skills remains a key challenge. Existing methods typically rely on a fixed revision operator, a search strategy and the revision forms applied under it....
Ze-Ping Liu, Yan Li, Ni Lao et al.
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