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FreeEvolve: Learning to Evolve Beyond Fixed Loops

Kong, Lecheng et al.
arXiv (All) · Papers
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machine-learning
Agent evolvers automate the design of the prompts, skills and workflows around language model agents, yet the optimization process they follow is still designed by hand: a fixed search loop decides how candidates are evaluated, which are kept and when the search stops. We propose FREEEVOLVE, which a
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