9 citations · 17 across the 5 of their papers we have counts for
5 papers
PracRepair: LLM-Empowered Automated Program Repair Inspired by Human-Like Debugging Practices
Yu Cheng, Zhongxin Liu, Zhenchang Xing +3
As software systems grow in scale and complexity, debugging and repair remain costly and time-consuming. Large language models (LLMs) have advanced automated program repair (APR),…
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
Wei Tao, Yucheng Zhou, Yanlin Wang +3
In software development, resolving the emergent issues within GitHub repositories is a complex challenge that involves not only the incorporation of new code but also the maintenan…
Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models
Qing Huang, Yishun Wu, Zhenchang Xing +3
We conduct the first empirical study on using knowledge transfer to improve the generalization ability of large language models (LLMs) in software engineering tasks, which often re…
Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services
Zhenchang Xing, Qing Huang, Yu Cheng +3
Foundation models, such as GPT-4, DALL-E have brought unprecedented AI "operating system" effect and new forms of human-AI interaction, sparking a wave of innovation in AI-native s…
Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains
Yu Cheng, Jieshan Chen, Qing Huang +3
The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People…