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V ENDI E VOLVE : Towards Diversity-Aware LLM-Guided Evolutionary Search

V ENDI E VOLVE augments LLM-guided evolutionary search with label-free distributional diversity signals that diagnose population-level collapse and keep semantically distinct programs influential as context for future LLM mutations.

Lei Lei, Atharva Sehgal, Lauren H. Yoon et al. · 0 citations