Hi! 👀 I am Shengbin Yue (岳圣斌), a Ph.D. student at Fudan University. I’m a member of the Fudan NLP Group and DISC Lab, and very fortunate to be advised by Prof. Zhongyu Wei and Prof. Wei Lin. Before that, I received my M.S. degree from Kunming University of Science and Technology in 2023, advised by Prof. Zhengtao Yu. Moreover, I was honored to collaborate with Prof. Liang Li (ICT, CAS).

My work spans Natural Language Processing and Multi-modal Learning. Before LLMs, I focused on visual-language captioning (i.e., Change Captioning). Now, I’m dedicated to advancing fundamental planning and reasoning capabilities in language models, with a particular focus on :

• 💻 [Autonomous Agents]: Designing agents learning for interaction with physically grounded environments. Research focuses on reinforcement learning, evolutionary optimization, and multi-agent synergy, applying to retrieval-augmented reasoning and adaptive tool use.
• 🌎 [Social Modeling]: Exploring methods for collaboration and reasoning of language models within real-world social structures (e.g., legal systems). This includes multi-task scheduling, social simulation, and strategic planning, to enable agents to comprehend social norms, execute socially structured tasks, and support trustworthy human-AI cooperation.

Recent News

• 2025.05: A paper is accepted by ACL 2025 Main.

• 2025.01: A paper is accepted by NAACL 2025.

• 2024.12: A paper is accepted by AAAI 2025 (Oral, Top 4.6%).

• 2024.08: A paper is accepted by NLPCC 2024.

• 2024.07: A paper is accepted by VIS 2024 & IEEE TVCG.

• 2024.04: A paper is accepted by ACM TOMM.

• 2024.03: A paper is accepted by DASFAA 2024 (Oral).

Publications

* indicates equal contributions.

• [ACL 2025] 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. (Main)

• [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)

• [AAAI 2025] Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks.
  Shengbin Yue, Siyuan Wang, Wei Chen, Xuanjing Huang, Zhongyu Wei. (Oral)

• [NLPCC 2024] Empowering LLMs for Long-Text Information Extraction in Chinese Legal Documents.
  Chenchen Shen*, Chengwei Ji*, Shengbin Yue, Xiaoyu Shen, Yun Song, Xuanjing Huang, Zhongyu Wei.

• [IEEE TVCG & VIS 2024] Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education.
  Lin Gao, Jing Lu, Zekai Shao, Ziyue Lin, Shengbin Yue, Chiokit Ieong, Yi Sun, Rory James Zauner, Zhongyu Wei, Siming Chen.

• [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

• [ACM TOMM 2024] Multi-grained Representation Aggregating Transformer with Gating Cycle for Change Captioning.
  Shengbin Yue, Yunbin Tu, Liang Li, Shengxiang Gao, Zhengtao Yu.

• [IEEE TMM 2023] I3N: Intra- and Inter-Representation Interaction Network for Change Captioning.
  Shengbin Yue, Yunbin Tu, Liang Li, Ying Yang, Shengxiang Gao, Zhengtao Yu.

Honors & Awards

• Tung Scholarship, Fudan University, 2024.
• Merit Student, Fudan University, 2024.
• Outstanding Student Scholarship, Fudan University, 2023, 2024.
• First-class Academic Scholarship, Fudan University, 2023, 2024.
• Outstanding Master’s Thesis Award, Yunnan Province, 2024.
• Merit Student, Yunnan Province, 2023.
• Outstanding Graduate, Yunnan Province, 2020.

Service

• Academic Reviewer: ARR Cycle, ACL 2025, EMNLP 2025, COLING 2025, NLPCC 2024, Knowledge-Based Systems, Neurocomputing
• Teaching Assistant: IICS737021-Large Language Model-24 Fall