教育经历：

• 2013-2017：都柏林城市大学 计算机应用  博士学位（全日制）
• 2010-2013：苏州大学  计算机软件与理论  硕士学位（全日制）
• 2006-2010：苏州大学  软件工程  学士学位（全日制）

工作经历：

• 2026-至今：深圳河套学院  助理教授
• 2017-2026：华为诺亚方舟实验室（香港）  研究员

李良友，博士，现任深圳河套学院LIMA中心助理教授。曾在华为香港研究所诺亚方舟实验室任研究员。博士毕业于爱尔兰都柏林城市大学（欧盟玛丽居里学者）。主要研究方向为大语言模型、多模态大模型和智能体，在ACL、ICLR等顶级会议发表论文20余篇，曾获ACL 2024杰出论文奖。

1. Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, and Kam-Fai Wong. M4LE: A multi-ability multi-range multi-task multi-domain long-context evaluation benchmark for large language models. ACL 2024. (Outstanding Paper Award)
2. Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, and Wei Wang. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. ACL 2024.
3. Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang. Learning to Edit: Aligning LLMs with Knowledge Editing. ACL 2024.
4. Kaishuai Xu, Tiezheng Yu, Wenjun Hou, Yi Cheng, Chak Tou Leong, Liangyou Li, Xin Jiang, Lifeng Shang, Qun Liu, Wenjie Li. Subtle Errors in Reasoning: Preference Learning via Error-Injected Self-editing. ACL 2025.
5. Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang. Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. ICLR 2025.
6. Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, and Chen Ma. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. ACL 2025.
7. Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, and Chen Ma. Reviseval: Improving LLM-as-a-Judge via Response-Adapted References. ICLR 2025.
8. Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong. ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis. NAACL 2025.
9. Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King. NILE: Internal Consistency Alignment in Large Language Models. EMNLP 2025.
10. Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, and Kam-Fai Wong. MT-Eval: A Multi-turn Capabilities Evaluation Benchmark for Large Language Models. EMNLP 2024

著作：

1. 《神经机器翻译：基础、原理、实践与进阶》，电子工业出版社，2022年，参编