English(EN) OpenEvolve underperforms simple autmated discovery harnesses the rest are insignificant from each other. The best choice changed across model–problem pairs. We

OpenEvolve 在 AI 研究中表现不如简单的自动化发现

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-22 13:38

一项涉及超过 300 万次运行的对照研究显示，OpenEvolve 的性能显著低于简单的自动化发现方法。不同方法的有效性因具体模型和问题对而异。该研究利用了重复的预算匹配运行和统计假设检验来比较各种方法。 AI

影响表明对于某些 AI 任务，更简单的自动化发现方法可能比 OpenEvolve 更有效。

排序理由该集群报告了一项比较 AI 发现方法的对照研究，属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-22 13:38

OpenEvolve underperforms simple autmated discovery harnesses the rest are insignificant from each other. The best choice changed across model–problem pairs. We

OpenEvolve underperforms simple autmated discovery harnesses the rest are insignificant from each other. The best choice changed across model–problem pairs. We ran a controlled study (3m+ rollouts) using repeated budget-matched runs, strong baselines, and statistical hypothesis t…

报道来源 [1]

OpenEvolve underperforms simple autmated discovery harnesses the rest are insignificant from each other. The best choice changed across model–problem pairs. We

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