陶拥鼎

Yongding Tao

博士生 · 2025 年入学

简介

Hi, I’m a Ph.D. student in the School of Computer Science, Peking University, fortunately supervised by Prof. Ge Li. My current research interests are mainly focused on LLM Reasoning, Foundation Model Architecture and AI for Software Engineering (AI4SE).

论文 (7)

已发表论文 (7)

[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] 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
[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
[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.
[NeurIPS 2025] Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu; FAN: Fourier Analysis Networks; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA. 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