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Mendel Gödel Machine:基于比较进化的递归自改进编码代理

原标题:Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

Hugging Face Daily Papers一手来源研究质量 84

AI 摘要

Mendel Gödel Machine (MGM) 是一种递归自改进编码代理,通过多轨迹突变和跨谱系杂交加速收敛并提升性能。该研究在理论上证明了新策略在加性适应度景观模型下的优势,并在 SWE-bench 和 Polyglot 基准上验证了其性能、效率和泛化能力的提升。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution Abstract Mendel Gödel Machine improves self-improving coding agents by using multi-trajectory mutations and cross-lineage hybridization to accelerate convergence and boost performance. Self-improving coding agents that iteratively rewrite their own source code have demonstrated impressive performance on coding tasks. However, existing solutions generally derive self-modification from a single failure trajector


发布时间:—
抓取时间:2026-08-12 11:02
来源机构:Hugging Face
阅读原文huggingface.co