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Benchmarking Prompt Optimization of Large Language Models With Chess

arXiv cs.AI ↗ · 2026-10-02 Cached

Researchers introduce a chess-puzzle benchmark (1,118 Lichess puzzles) for automatic prompt optimization of frozen LLMs, evaluating six APO algorithms on eight models with cheap, deterministic, renewable scoring at a total cost of around $800.

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