代码大模型 / AI 编程

Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair

回避与验证：一种双LLM策略用于减少代理程序修复中的噪声

José Cambronero, Michele Tufano, Sherry Shi, Renyao Wei, Grant Uy, Runxiang Cheng, Chin-Jung Liu, Shiying Pan, Satish Chandra, Pat Rondon

机构 * Google, USA（谷歌公司） ； Meta, USA（Meta公司） 纠错

专题命中 程序修复 ：program repair(title,abstract)；repository(abstract)；分类 cs.SE、cs.AI

AI总结 本文提出双LLM策略，通过bug回避和补丁验证减少代理程序修复中的噪声，提升修复成功率和可靠性。

Comments Accepted to the 2026 IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP '26)

Journal ref 2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE-SEIP '26)