Abstract
背景:之前APR与大模型的结合仅仅使用了一些特殊构建的input/prompt
本文:conversational APR
方法:使用long-term context window来记录之前的validation feedback
实验:
在10个LLMs上进行对比展示改进
- Conversational Automated Program Reading Repairconversational automated program reading conversational learning conversational recommendation reinforcement automated repair constraint extraction cdeepfuzz automated vulnerability frameworks cdeepfuzz automated boot-repair vulnerability large-scale automated addition automated documents generate python