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LLM Evolutionary Search Strategies Should be Compared by Tokens

Oved, Tal et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learningneural-and-evolutionary-computing
LLM evolutionary search is currently evaluated by counting proposals (candidate programs). We demonstrate this metric hides the true cost of search, and redo the comparison using tokens. By replaying 600 logged runs across 5 tasks and 3 methods, we show that proposal costs vary wildly from 16k to 39
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