I am currently an assistant professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). Before joining HITsz, I received my PhD degree (working on semantic-based dialogue modeling) from Zhejiang University in Mar 2023, where I was honored to be advised by Yue Zhang. I earned my master degree (working on unsupervised word translation) from Harbin Institute of Technology, supervised by Tiejun Zhao and Hailong Cao. I obtained my undergraduate degree on Computer Science and Technology from Harbin Institute of Technology.
My research area spans from large language models (LLMs) and structured learning. I recently focus on developing technical solutions to bridge the gap between LLMs and structured data (Knowledge Graphs, Semantic Graphs, Protein Structures). Additionally, I work on efficient reinforcement learning (RL) algorithms to align LLMs with human values, ensuring their safe and ethical deployment. Beyond this, I maintain a strong interest in fundamental NLP tasks (syntax and semantics) as well as real-world NLP applications (dialogue systems and machine translation).
Recruit: I am currently looking for self-motivated undergraduate students, interns, and prospective Master's (2025/2026) or PhD (2026) candidates to doing research with me. If you have a strong interest in LLMs or structures, I’d love to hear from you! Please feel free to reach out via email or visit me at L1910 to discuss potential opportunities.
🔥 News
- 2024.09: 🎉🎉 One paper accepted by EMNLP2024.
- 2024.07: 🎉🎉 One paper accepted by CoLM2024.
- 2024.05: 🎉🎉 Two papers accepted by ACL2024, one main paper and one findings.
- 2023.05: 🎉🎉 Two papers accepted by ACL2023, one main paper and one findings.
📝 Selected Publications
Please go to Google Scholar for all publications.
[Recent work on LLMs]
EMNLP 2024Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering, Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo and Min Zhang. [code]CoLM 2024See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses, Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yang Liu and Yue Zhang.-
ACL 2024Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Models, Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang and Min Zhang. [code] ACL 2024DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms, Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao and Min Zhang. [code]
[Representative work on Fundamental NLP]
ACL 2022Graph-pretraining for AMR Parsing and Generation, Xuefeng Bai, Yulong Chen and Yue Zhang. [code]
ACL 2021Semantic Representation for Dialogue Modeling, Xuefeng Bai, Yulong Chen, Linfeng Song and Yue Zhang. [code]EMNLP 2022Cross-domain Generalization for AMR Parsing, Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song and Yue Zhang. [code]COLING 2022Semantic-based Pre-training for Dialogue Understanding, Xuefeng Bai, Yulong Chen, Linfeng Song and Yue Zhang. [code]EMNLP 2020Online back-parsing for AMR-to-text generation, Xuefeng Bai, Linfeng Song and Yue Zhang. [code]
📚 Teaching
- COMP6023: Mathematical Methods in Image Processing
- Graduate, HITsz, Spring (2024, 2025)
- COMP1011: Principles and Practice of Programming
- Undergraduate, HITsz, Fall (2024, 2025)
📝 Academic Services
- Area Chair / Action Editor
- ARR Rolling Review (2024-now)
- EMNLP (2022, 2024)
- NAACL 2025
- ACL 2025
- CCL 2024
- Program Committee Member:
- ARR, ACL, EMNLP, NAACL, COLING, AACL, CCL, NLPCC, etc.
-
Journal Reviewer:
- TACL, Machine Learning, ACM/IEEE TASLP, KBS, ACM TALLIP, etc.
🎖 Honors and Awards
- 2023.03 Outstanding graduate of Zhejiang Province.
- 2023.03 Outstanding graduate of Zhejiang University.
- 2021.10 National Scholarship for doctoral students.
- 2019.06 Top100 Master Thesis in Harbin Institute of Technology.
- 2018.09 National Scholarship for master students.
- 2017.06 Top100 graduation projects in Harbin Institute of Technology.
💻 Internships
- 2021.09 - 2023.03, AILab, Tencent, advised by Dr. Linfeng Song.
- 2020.02 - 2020.06, DAMO Academy, Alibaba, advised by Dr. Boxing Chen.
- 2018.07 - 2018.10, MT Group, Sogou Inc, advised by Dr. Feifei Zhai.