Li, Ge

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

Self-collaboration Code Generation via ChatGPT

Dong, Y., Jiang, X., Jin, Z., & Li, G. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 256

Self-collaboration code generation via ChatGPT

Dong, Y., Jiang, X., Jin, Z., & Li, G. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 256

Multi-task Learning based Pre-trained Language Model for Code Completion

Liu, F., Li, G., Zhao, Y., & Jin, Z. (2020) · Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 188

Self-Planning Code Generation with Large Language Models

Jiang, X., Dong, Y., Wang, L., Fang, Z., Shang, Q., Li, G., Jin, Z., & Jiao, W. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 158

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Zhang, K., Li, J., Li, G., Shi, X., & Jin, Z. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 138

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Yang, Z., Liu, F., Yu, Z., Keung, J. W., Li, J., Liu, S., Hong, Y., Ma, X., Jin, Z., & Li, G. (2024) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchNatural Language Processing Techniques

Cited by 104

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Zhang, K., Li, J., Li, G., Shi, X., & Jin, Z. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 97

Retrieve and refine: exemplar-based neural comment generation

Wei, B., Li, Y., Li, G., Xia, X., & Jin, Z. (2020) · Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 69

SkCoder: A Sketch-based Approach for Automatic Code Generation

Li, J., Li, Y., Li, G., Jin, Z., Hao, Y., & Hu, X. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Engineering ResearchTopic Modeling

Cited by 64

Large Language Model-Aware In-Context Learning for Code Generation

Li, J., Li, G., Tao, C., Li, J., Zhang, H., Liu, F., & Jin, Z. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 32

Large Language Model-Aware In-Context Learning for Code Generation

Li, J., Tao, C., Li, J., Li, G., Jin, Z., Zhang, H., Fang, Z., & Liu, F. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 32

Non-Autoregressive Line-Level Code Completion

Liu, F., Fu, Z., Li, G., Jin, Z., Liu, H., Hao, Y., & Zhang, L. (2024) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 22

ToolCoder: Teach Code Generation Models to use API search tools

Zhang, K., Zhang, H., Li, G., Li, J., Li, Z., & Jin, Z. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 12

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates

Sun, Z., Wan, Y., Li, J., Zhang, H., Jin, Z., Li, G., & Lyu, C. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 10

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation

Li, J., Shi, X., Zhang, K., Li, G., Jin, Z., Li, L., Zhang, H., Li, J., Liu, F., Zhang, Y., et al. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

Tao, Y., Wang, T., Dong, Y., Liu, H., Zhang, K., Hu, X., & Li, G. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 1