SEKE研究组
简介
研究方向：AI for Software Engineering 智能化软件工程，聚焦于提升大模型在逻辑推理、仓库级上下文理解等复杂软件工程任务中的能力，围绕基础模型架构设计、模型 后训练、Code Agent等关键技术开展研究
论文 (13)
arXiv 论文 (2)
- [arXiv 2026] Huanyu Liu, Ge Li, Yihong Dong, Sihan Wu, Peixu Wang, Sihao Cheng, Taozhi Chen, Kechi Zhang, Hao Zhu, Tongxuan Liu; Do Transformers Have the Ability for Periodicity Generalization?; arXiv preprint, arXiv:2601.22690, 2026. PDF
- [arXiv 2025] Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li; Specification-Guided Vulnerability Detection with Large Language Models; arXiv preprint, arXiv:2511.04014, 2025. PDF
已发表论文 (11)
- [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
- [FSE 2026] Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li; VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications; Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE 2026), Montreal, Canada.
- [ACL 2026] Huanyu Liu, Jia Li, Chang Yu, Taozhi Chen, Yihong Dong, Lecheng Wang, Yongding Tao, Xiaolong Hu, Ge Li; EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA. PDF
Blog → - [ICLR 2026] Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Xiaolong Hu, Ge Li; Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models; Proceedings of the Fourteenth International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil. PDF
- [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.
- [ICSE 2025] Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li; aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion; Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, Ontario, Canada.
- [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] Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jia Li, Jinliang Deng, Hong Mei; Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA. PDF
- [NeurIPS 2025] Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong; SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, USA. PDF
Blog → - [ACL 2024] Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Zhi Jin, Hao Zhu, Huanyu Liu, Kaibo Liu, Lecheng Wang, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yihong Dong, Yuqi Zhu; DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories; Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand.
- [ACL 2024] Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li; Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models; Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand.
组会汇报 (1)
- 2026年8月25日 Kimi Delta Attention 下载 PPT
论文 Blog (2)
- 2026年8月5日 EvoCoT论文解读——ACL 2026EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning
- 2026年8月5日 SATURN论文解读——NeurIPS 2025 Spotlight paperSATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning