Educational Background：

• 2013-2017: Dublin City University, Computer Applications, Doctoral Degree (Full-time)
• 2010-2013: Soochow University, Computer Software and Theory, Master’s Degree (Full-time)
• 2006-2010: Soochow University, Software Engineering, Bachelor’s Degree (Full-time)

Work Experience：

• 2026-Present: Shenzhen Loop Area Institute, Assistant Professor
• 2017-2026: Huawei Noah’s Ark Lab (Hong Kong), Researcher

Liangyou Li, Ph.D., is an Assistant Professor at the LIMA Center, Shenzhen Loop Area Institute (SLAI). Before joining SLAI, he was a researcher at Huawei Noah’s Ark Lab, Hong Kong Research Center. He received his Ph.D. from Dublin City University, funded by EU Marie Curie Program. His research interests include Large Language Model, Multimodal Large Model and AI Agents. He has published over 20 papers in top conferences such as ACL, ICLR etc.. He received ACL 2024 Outstanding Paper Award.

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

Academic Publications：

1. “Neural Machine Translation: Foundations, Principles, Practices and Frontiers”, Publishing House of Electronics Industry, 2022, Co-author.