• [Preprint] EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
    Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin
    Paper Data

  • [Preprint] ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
    Zejun Wang, Jia Li, Ge Li, Zhi Jin
    Paper

  • [Preprint] Large Language Model-Aware In-Context Learning for Code Generation
    Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin
    Paper

  • [Preprint] Structured Chain-of-Thought Prompting for Code Generation
    Jia Li, Yongmin Li, Ge Li, Zhi Jin
    Paper

  • [Preprint] AceCoder: Utilizing Existing Code to Enhance Code Generation
    Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin
    Paper

  • [Preprint] ToolCoder: Teach Code Generation Models to use API search tools
    Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin
    Paper

  • [FSE 2024] Exploring and Unleashing the Power of Large Language Models in Automated Code Translation CCF-A
    Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Ge Li, Zhi Jin
    In: The ACM International Conference on the Foundations of Software Engineering (FSE), July 17-19, 2024.

  • [SCIS 2024] Deep Learning for Code Generation: A Survey CCF-A
    Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin
    In: Science China Information Sciences (SCIS), January 30, 2024.
    Paper

  • [AAAI 2024] Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models CCF-A
    Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
    In: The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), February 20-27, 2024, Vancouver, Canada.
    Acceptance Rate: 23.75% (2342/9862).
    Paper Souce Code

  • [TOSEM 2023] Poison Attack and Poison Detection on Deep Source Code Processing Models CCF-A
    Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia
    In: ACM Transactions on Software Engineering and Methodology (TOSEM), 2023.
    Paper

  • [ASE 2023] ZC3 Zero-Shot Cross-Language Code Clone Detection CCF-A
    Jia Li, Chongyang Tao, Zhi Jin#, Fang Liu, Jia Li, Ge Li#
    In: The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), September 11-15, 2023, Kirchberg, Luxembourg.
    Acceptance Rate: 21% (134/629).
    Paper Souce Code

  • [Internetware 2023] MCodeSearcher Multi-View Contrastive Learning for Code Search CCF-C
    Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li#, Zhi Jin#
    In: The 14th Asia-Pacific Symposium on Internetware, August 4-6, 2023, Hangzhou, China.
    Acceptance Rate: 40% (30/75).
    Paper

  • [ACL 2023] Self-Edit: Fault-Aware Code Editor for Code GenerationCCF-A
    Kechi Zhang, Zhuo Li, Jia Li, Ge Li#, Zhi Jin#
    In: The 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 9-14, Toronto, Canada.
    Acceptance Rate: 22.7%.
    Paper Source Code

  • [TOSEM 2023] CodeEditor: Learning to Edit Source Code with Pre-trained Models CCF-A
    Jia Li, Ge Li#, Zhuo Li, Zhi Jin#, Xing Hu, Kechi Zhang, Zhiyi Fu
    In: ACM Transactions on Software Engineering and Methodology (TOSEM), 2023.
    (Selected for ASE 2023 journal-first presentation)
    Paper Source Code

  • [ICSE 2023] SkCoder: A Sketch-based Approach for Automatic Code Generation CCF-A
    Jia Li, Yongmin Li, Ge Li#, Zhi Jin#
    In: The 45th IEEE/ACM International Conference on Software Engineering (ICSE), 17-19 May, 2023, Melbourne, Australia.
    Acceptance Rate: 26% (209/796).
    Paper Source Code

  • [NeurIPS 2022] Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively CCF-A
    Haojie Zhang, Ge Li#, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin#
    In: The 36th Conference on Neural Information Processing Systems (NeurIPS), November 28-December 9, 2023, virtual.
    Acceptance Rate: 25.6%.
    Paper Source Code

  • [ASE 2021] EditSum: A Retrieve-and-Edit Framework for Source Code Summarization CCF-A
    Jia Li, Yongmin Li, Ge Li#, Xing Hu, Xin Xia, Zhi Jin#
    In: The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), November 14-20, 2021, Australia.
    Acceptance Rate: 18.6% (82/440).
    Paper Source Code