RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

1 code implementation • 26 Feb 2024 • Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun

Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging.

Code Documentation Generation Language Modelling +1

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution

no code implementations • 25 Jan 2024 • Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun

This paper introduces Investigate-Consolidate-Exploit (ICE), a novel strategy for enhancing the adaptability and flexibility of AI agents through inter-task self-evolution.

DebugBench: Evaluating Debugging Capability of Large Language Models

1 code implementation • 9 Jan 2024 • Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun

Previous evaluations of LLMs' debugging ability are significantly limited by the risk of data leakage, the scale of the dataset, and the variety of tested bugs.

Code Generation