Hi! 👀 I am Shujun Liu (刘书隽), a first-year graduate at the School of Data Science, Fudan University. I am a member of the Fudan NLP Group and Data Intelligence and Social Computing Lab (DISC Lab).

My work spans Natural Language Processing and Multi-modal Learning. I’m particularly excited about these research thrusts:

• 🤖 Reasoning Models.
• 📸 Vision-language Modality Alignment.

Publications

* indicates equal contributions.

• [Preprint] Haf-rm: A hybrid alignment framework for reward model training.
  Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei.

• [NAACL 2025] Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction.
  Shengbin Yue*, Ting Huang*, Zheng Jia*, Siyuan Wang, Shujun Liu, Yun Song, Xuanjing Huang, Zhongyu Wei. (Findings)

• [DASFAA 2024] LawLLM: Intelligent Legal System with Legal Reasoning and Verifiable Retrieval.
  Shengbin Yue*, Shujun Liu*, Yuxuan Zhou*, Chenchen Shen*, Siyuan Wang, Yao Xiao, Bingxuan Li, Yun Song, Xiaoyu Shen, Wei Chen, Xuanjing Huang, Zhongyu We

• [ACL 2024] ALaRM: Align Language Models via Hierarchical Rewards Modeling.
  Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei (Findings)

Honors & Awards

• Fudan University Undergraduate Excellence Scholarship
• Third Prize in the Fudan University “Zhuoyue Cup” Innovation and Entrepreneurship Competition

Service

• Reviewer: ARR Cycle, NLPCC 2024
• Teaching Assistant: DATA130008-Introduction to Artificial Intelligence-24 Fall