Chao Peng
Chao Peng
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SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning
Mainstream issue-resolving frameworks predominantly rely on commercial models, leading to high costs and privacy concerns. Existing …
Zexiong Ma
,
Chao Peng
,
Pengfei Gao
,
Xiangxin Meng
,
Yanzhen Zou
,
Bing Xie
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DOI
An LLM-based Agent for Reliable Docker Environment Configuration
Environment configuration is a critical yet time-consuming step in software development, especially when dealing with unfamiliar code …
Ruida Hu
,
Chao Peng
,
Xinchen Wang
,
Cuiyun Gao
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DOI
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
In software maintenance, bug reproduction is essential for effective fault localization and repair. Manually writing reproduction …
Xinchen Wang
,
Pengfei Gao
,
Xiangxin Meng
,
Chao Peng
,
Ruida Hu
,
Yun Lin
,
Cuiyun Gao
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DOI
An Empirical Study on LLM-based Agents for Automated Bug Fixing
Large language models (LLMs) and LLM-based Agents have been applied to fix bugs automatically, demonstrating the capability in …
Xiangxin Meng
,
Zexiong Ma
,
Pengfei Gao
,
Chao Peng
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DOI
MarsCode Agent: AI-native Automated Bug Fixing
Recent advances in large language models (LLMs) have shown significant potential to automate various software development tasks, …
Yizhou Liu
,
Pengfei Gao
,
Xinchen Wang
,
Jie Liu
,
Yexuan Shi
,
Zhao Zhang
,
Chao Peng
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