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English(EN) Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run

AI编码代理在运行前对编辑进行评分以促进自我改进

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的方法，使AI编码代理能够在不执行每个建议的编辑的情况下递归地改进其自身代码。这种被称为Huxley-Gödel Machine的方法在运行前对潜在的代码更改进行评分，从而显著降低了计算成本。实验表明，GPT-4o和Claude Sonnet 4.5在使用此方法时，在HumanEval+和Polyglot等编码基准测试中取得了高精度，优于基线方法。 AI

影响 该方法可以显著降低AI代码生成和自我改进的计算成本。

排序理由 该集群包含一篇详细介绍AI编码代理新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI编码代理在运行前对编辑进行评分以促进自我改进

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该集群包含一篇详细介绍AI编码代理新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Erfan Darzi, Sree Bhargavi Balija, Sheng He ·

    Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run

    arXiv:2610.29121v1 Announce Type: cross Abstract: A coding agent that rewrites its own scaffold has to choose which proposed edit to expand before that edit has been evaluated, and the search then has to return one agent. Each run fits one linear readout on the parent's steering-…

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