代码大模型 / AI 编程

Rethinking Kernel Program Repair: Benchmarking and Enhancing LLMs with RGym

重新思考内核程序修复：通过RGym基准测试和增强LLMs

Kareem Shehada, Yifan Wu, Wyatt D. Feng, Adithya Iyer, Gryphon Kumfert, Yangruibo Ding, Zhiyun Qian

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

AI总结 本研究提出RGym框架，通过改进的定位技术和提示结构，提升LLMs在Linux内核程序修复中的性能和效率。

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling