English(EN) Discovering heuristics in a complex SAT solver with large language models

LLM自动优化SAT求解器，性能提升40%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-09 04:00

研究人员开发了AutoModSAT，一个利用大型语言模型（LLM）自动优化复杂SAT求解器的新框架。该方法结合了LLM兼容的模块化求解器设计、无监督提示优化和进化算法。实验表明，AutoModSAT显著提高了性能，比基线求解器提高了40%，比最先进的求解器提高了30%，展示了LLM在优化任务中发现启发式方法的潜力。 AI

影响证明了LLM可以优化复杂的计算工具，有可能加速各个领域的研究和开发。

排序理由这是一篇详细介绍新框架及其实验结果的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Yiwen Sun, Furong Ye, Zhihan Chen, Ke Wei, Shaowei Cai · 2026-06-09 04:00

使用大型语言模型发现复杂SAT求解器中的启发式方法

arXiv:2507.22876v2 Announce Type: replace Abstract: The Satisfiability problem (SAT) is fundamental in computational complexity theory and has a wide range of industrial applications. Optimizing modern SAT solvers in real-world settings is quite challenging due to their intricate…

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使用大型语言模型发现复杂SAT求解器中的启发式方法

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