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OptiArena: Can LLMs Improve Executable Algorithms under Fixed Resource Budgets?

Peng, Wenjun et al.
arXiv (All) · Papers
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computation-and-language
Static QA and code-generation benchmarks only partially capture the role that large language models (LLMs) now play as coding agents and research tools. We introduce OptiArena, a budget-controlled testbed for studying whether LLMs can improve executable game-playing algorithms through five rounds of
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