Benchmarking Prompt Optimization of Large Language Models With Chess.

arXiv:2610.00416v2 Announce Type: replace Abstract: Evaluating large language models becomes increasingly challenging as their capabilities advance: benchmarks can saturate, public test sets risk contamination, and assessing harder tasks can require expensive