金芝

Zhi Jin

职位：: 教授，IEEE/AAIA/CCF会士
研究领域：: 需求工程，知识工程，软件工程
电子邮件：: zhijin@pku.edu.cn

论文 (104)

arXiv 论文 (14)

[arXiv 2026] Yihong Dong, Jianha Xiao, Xue Jiang, Xuyuan Guo, Zhiyuan Fan, Jiaru Qian, Kechi Zhang, Jia Li, Zhi Jin, Ge Li; Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy; arXiv preprint, arXiv:2604.02709, 2026. PDF
[arXiv 2025] Jia Li, Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Zhi Jin; CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation; arXiv preprint, arXiv:2504.10046, 2025. PDF
[arXiv 2025] Yuqi Zhu, Ge Li, Xue Jiang, Jia Li, Hong Mei, Zhi Jin, Yihong Dong; Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs; arXiv preprint, arXiv:2503.15341, 2025. PDF
[arXiv 2025] Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Yihong Dong, Jing Mai, Bin Gu, Zhi Jin; Computational Thinking Reasoning in Large Language Models; arXiv preprint, arXiv:2506.02658, 2025. PDF
[arXiv 2025] Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin; LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding; arXiv preprint, arXiv:2503.04359, 2025. PDF

已发表论文 (90)

[软件学报, 2026] Yihong Dong, Xue Jiang, Jiaru Qian, Tian Wang, Kechi Zhang, Zhi Jin, Ge Li; 基于大语言模型智能体的代码生成综述（A Survey on Code Generation with LLM-based Agents）; 软件学报 (软件学报); Vol. 37, Iss. 8, pp.3089-3115. PDF
[AAAI 2026] Xue Jiang, Yihong Dong, Zheng Fang, Yingwei Ma, Tangxinyu Wang, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li; Large Language Model Unlearning for Source Code; The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, Singapore. PDF
[ACL 2026] Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li; Rl-plus: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA, July 2 - 7, 2026. PDF
[ACL 2026] Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhiyuan Fan, Jiaru Qian, Yongmin Li, Jianha Xiao, Zhi Jin, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li, Ge Li; Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA.
[FSE 2026] Yuqi Zhu, Ge Li, Hong Mei, Zhi Jin, Jia Li, Qibin Zheng, Jieyuan Zhang; Influence-Aware Bayesian-Inspired Token Reweighting for Improved Code Generation; Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE 2026), Montreal, Canada.
[ICSE 2026] Yongmin Li, Jia Li, Ge Li, Zhi Jin; AdapTrack: Constrained Decoding without Distorting LLM's Output Intent; Proceedings of the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026), Rio de Janeiro, Brazil.
[ICSE 2026] Kechi Zhang, Huangzhao Zhang, Ge Li, Jinliang You, Jia Li, Yunfei Zhao, Zhi Jin; SEAlign: Alignment Training for Software Engineering Agent; Proceedings of the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026), Rio de Janeiro, Brazil. PDF
[ACL 2026] Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Fei Huang, Yongbin Li, Ge Li; CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA. PDF
[ACL 2026] Zheng Fang, Yihong Dong, Lili Mou, Dongming Jin, Zhi Jin, Ge Li; IntentCoding: Amplifying User Intent in Code Generation; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA. PDF
[ACL 2026] Xue Jiang, Ge Li, Jiaru Qian, Xianjie Shi, Chenjie Li, Hao Zhu, Ziyu Wang, Jielun Zhang, Zheyu Zhao, Lingwei Wu, Kechi Zhang, Jia Li, Wenpin Jiao, Zhi Jin, Yihong Dong; KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA. PDF
[TOSEM, 2025] Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei; PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing; ACM Transactions on Software Engineering and Methodology.
[EMSE, 2025] Jia Li, Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Yunfei Zhao, Ge Li; SCodeSearcher: Soft Contrastive Learning for Code Search; Empirical Software Engineering (EMSE); Vol. 30, Iss. 3, pp.1-23.
[EMSE, 2025] Kechi Zhang, Jia Li, Zhuo Li, Zhi Jin, Ge Li; Transformer-based Code Model with Compressed Hierarchy Representation; Empirical Software Engineering (EMSE); Vol. 30, Iss. 2, pp.1-43.
[ICSE 2025] Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li; ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation; Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, Ontario, Canada.
[TOSEM, 2025] Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, Fang Liu; Large language Model-aware in-Context Learning for Code Generation; ACM Transactions on Software Engineering and Methodology (TOSEM); Vol. 34, Iss. 7, pp.1-33.
[ACL 2025] Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin; Benchmarking Long-Context Language Models on Long Code Understanding; Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria.
[ACL 2025] Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin; Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points; Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria.
[ACL 2025] Yihong Dong, Yuchen Liu, Xue Jiang, Zhi Jin, Ge Li; Rethinking Repetition Problems in Code Generation; Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria.
[ACL 2025] Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin; CodeDPO: Aligning Code Models with Self Generated and Verified Source Code; Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria.
[ASE 2025] Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li; aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion; Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025), Seoul, South Korea. PDF
[NeurIPS 2025] Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jingjing Xu, Zhi Jin; StackTrans: From Large Language Model to Large Pushdown Automata Model; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA.
[TOSEM, 2025] Ziliang Wang, Ge Li, Jia Li, Jia Li, Meng Yan, Yingfei Xiong, Zhi Jin; M2CVD: Enhancing Vulnerability Understanding through Multi-Model Collaboration for Code Vulnerability Detection; ACM Transactions on Software Engineering and Methodology.
[TOSEM, 2025] Xue Jiang, Yihong Dong, Zhiyuan Fan, Zhi Jin, Wenpin Jiao, Ge Li; Exploring Data-Efficient Adaptation of Large Language Models for Code Generation; ACM Transactions on Software Engineering and Methodology.
[NeurIPS 2025] Kechi Zhang, Ge Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin; Recursive Transformer: Boosting Reasoning Ability with State Stack; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, USA. PDF
[AAAI 2024] Yuqi Zhu, Jia Allen Li, Ge Li, YunFei Zhao, Jia Li, Zhi Jin, Hong Mei; Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models; Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada.
[TOSEM, 2024] Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia; Poison Attack and Poison Detection on Deep Source Code Processing Models; ACM Transactions on Software Engineering and Methodology (TOSEM); Vol. 33, Iss. 62, pp.1-31.
[SCIS, 2024] Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin; Deep Learning for Code Generation: A Survey; Science China Information Sciences. DOI
[JSEP, 2024] Huangzhao Zhang, Shuai Lu, Zhuo Li, Zhi Jin, Lei Ma, Yang Liu, Ge Li; Codebert-Attack: Adversarial Attack against Source Code Deep Learning Models via Pre-trained Model; Journal of Software: Evolution and Process (JSEP); Vol. 36, Iss. 3.
[FSE 2024] Zhen Yang, Fang Liu, Zhongxing Yu, Jacy Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li; Exploring and Unleashing the Power of Large Language Models in Automated Code Translation; Proceedings of the 2024 ACM International Conference on the Foundations of Software Engineering (FSE 2024), Porto de Galinhas, Brazil.
[ACL 2024] Yihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li; PACE: Improving Prompt with Actor-Critic Editing for Large Language Model; Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand.