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 (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

• 2025.08:  🎉🎉 Two papers are accepted at EMNLP2025, both are main conference.
• 2025.07:  🎉🎉 Won the championship at the CAMRP2025 evaluation task.
• 2025.05:  🎉🎉 Five papers are accepted at ACL2025, three main conference and two findings.
• 2025.05:  🎉🎉 One paper is accepted at ICML2025.
• 2025.04:  🎉🎉 One paper is accepted at IJCAI2025.
• 2025.04:  🎉🎉 We will host a Shared Task on Classical Chinese Poetry Appreciation at CCL 2025. We welcome wide participation.
• 2024.09:  🎉🎉 One paper is accepted at EMNLP2024.
• 2024.07:  🎉🎉 One paper is accepted at CoLM2024.
• 2024.05:  🎉🎉 Two papers are accepted at ACL2024, one main conference and one findings.
• 2023.05:  🎉🎉 Two papers are accepted at ACL2023, one main conference and one findings.

📝 Selected Publications

Please go to Google Scholar for a complete list of publications.

[Recent work on LLMs]

• EMNLP 2025 Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent [code]
  Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang.
• EMNLP 2025 Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance [code]
  Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang.
• ICML 2025 Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin [code]
  Yuchen Wang, Xuefeng Bai^✉, Xiucheng Li, Weili Guan, Liqiang Nie and Xinyang Chen^✉.
• IJCAI 2025 A Survey on the Feedback Mechanism of LLM-based AI Agents [code]
  Zhipeng Liu, Xuefeng Bai^✉, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie and Min Zhang.
• ACL 2025 Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model [code]
  Qiyuan Deng, Xuefeng Bai^✉, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang.
• ACL 2025 Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning [code]
  Yingjie Zhu, Xuefeng Bai^✉, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang
• ACL 2025 Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation [code]
  Andong Chen, Song Yuchen, Kehai Chen, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, Min zhang.
• ACL 2025 (Findings) The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents [[code] (to-be-public)] Yihong Tang, Kehai Chen, Xuefeng Bai, Zheng-Yu Niu, Bo Wang, Jie Liu, Min Zhang.
• ACL 2025 (Findings) LLM-based Translation Inference with Iterative Bilingual Understanding [code]
  Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Yang Feng, Tiejun Zhao, Min zhang.
• EMNLP 2024 (Findings) Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering [code]
  Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo and Min Zhang.
• CoLM 2024 See 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 2024 (Findings) Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Models [code]
  Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang and Min Zhang.

• ACL 2024 DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms [code]
  Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao and Min Zhang.

[Representative work on Fundamental NLP]

• TASLP 2025 Constituency Parsing using LLMs [code]
  Xuefeng Bai, Jialong Wu, Yulong Chen, Zhongqing Wang, Kehai Chen, Min Zhang and Yue Zhang.
• ACL 2022 Graph-pretraining for AMR Parsing and Generation [code]
  Xuefeng Bai, Yulong Chen and Yue Zhang.
• ACL 2021 Semantic Representation for Dialogue Modeling[code]
  Xuefeng Bai, Yulong Chen, Linfeng Song and Yue Zhang.
• EMNLP 2022 Cross-domain Generalization for AMR Parsing [code]
  Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song and Yue Zhang.
• COLING 2022 Semantic-based Pre-training for Dialogue Understanding[code]
  Xuefeng Bai, Yulong Chen, Linfeng Song and Yue Zhang.
• EMNLP 2020 Online back-parsing for AMR-to-text Generation [code]
  Xuefeng Bai, Linfeng Song and Yue Zhang.

📚 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.