Gao, Cuiyun

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Gao, S., Wen, X.-C., Gao, C., Wang, W., Zhang, H., & Lyu, M. R. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchTopic Modeling

Cited by 106

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering

Wang, R., Guo, J., Gao, C., Fan, G., Chong, C. Y., & Xia, X. (2025) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 62

How Practitioners Expect Code Completion?

Wang, C., Hu, J., Gao, C., Jin, Y., Xie, T., Huang, H., Lei, Z., & Deng, Y. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 50

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities

Yang, Z., Chen, S., Gao, C., Li, Z., Hu, X., Liu, K., & Xia, X. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 37

Practitioners' Expectations on Code Completion

Wang, C., Hu, J., Gao, C., Jin, Y., Xie, T., Huang, H., Lei, Z., & Deng, Y. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 14

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation

Gao, S., Wang, C., Gao, C., Jiao, X., Chong, C. Y., Gao, S., & Lyu, M. (2025) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 2