Jin, Zhi
Peking University
18 papers on CoChatORCID 0000-0003-1087-226X
Most cited papers
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
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
- Verified
Generative AI for self-adaptive systems: State of the art and research roadmap
Li, J., Zhang, M., Li, N., Weyns, D., Jin, Z., & Tei, K. (2024) · ACM Transactions on Autonomous and Adaptive Systems
Advanced Software Engineering MethodologiesAI-based Problem Solving and Planning
Cited by 77
- Verified · note
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
- Verified
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
- Verified
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
Dong, Y., Jiang, X., Liu, H., Jin, Z., Gu, B., Yang, M., & Li, G. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 52
- Verified
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
Dong, Y., Jiang, X., Liu, H., Jin, Z., Gu, B., Yang, M., & Li, G. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 52
- Verified
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
- Verified · note
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
- Verified
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Tao, Z., Jin, Z., Bai, X., Zhao, H., Feng, Y., Li, J., & Hu, W. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 23
- Verified
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
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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
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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
- Verified
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
Dou, C., Zhang, Y., Jin, Z., Jiao, W., Zhao, H., Zhao, Y., & Tao, Z. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Artificial Intelligence in Healthcare and EducationSpeech and dialogue systems
Cited by 4
- Verified
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
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