Hello! I am an Assistant Professor (ZJU-100 Young Professor, Doctoral Supervisor) at Zhejiang University. I received my Ph.D. from Zhejiang University under the supervision of Prof. Kun Kuang and Prof. Fei Wu. I also earned my B.S. degree from Zhejiang University.

I actively collaborate with Prof. Xiaozhong Liu from Worcester Polytechnic Institute and Prof. Adam Jatowt from the University of Innsbruck.

My research interests encompass LegalAI, Large Language Models, Natural Language Processing, and Causal Inference. I have published over 10 papers in prestigious conferences such as ACL, EMNLP, NAACL, SIGIR, AAAI, and KDD.

I am the lead contributor to the open-source legal LLM project wisdomInterrogatory, which earned me an invitation to participate in the Yunqi Conference.

From 2023 to 2024, I have the privilege of being a visiting student at the University of Innsbruck, Austria.

❗️We are currently seeking graduate students. If you are interested in applying or collaborating with me, please feel free to contact me.

🔥 News

• 2024.10:  🎉🎉 It is a great honor to be elected as an executive committee member of the CCF Computational Law Subcommittee!
• 2024.09:  🏆🥇 Our team win the First Prize in 6th China Graduate AI Innovation Competition!!
• 2024.05:  🎉🎉 One paper is accepted by KDD’24!
• 2024.05:  🎉🎉 Two papers are accepted by ACL’24!
• 2024.03:  🎉🎉 One paper is accepted by NAACL’24!

📝 Projects and Publications

wisdomInterrogatory | (智海-录问 in Chinese) is an open-source Legal LLM that involves constructing training data, accelerating model training, integrating knowledge bases, and developing evaluation metrics. The model offers legal assistance services such as Q&A, case analysis, and legal document generation. It has garnered over 400 stars, more than 6,730 downloads, and over 110,000 uses. As the project leader, I was invited to participate in the Yunqi Conference.

The model can also be accessed online.

• KDD'24 (oral) “Xinyu: An Efficient LLM-based System for Commentary Generation”, Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu li, Feiyu Xiong, Jie Hu, Cheng Peng, Zhonghao Wang, WangYi, Yi Luo, Mingchuan Yang

• ACL'24-Findings “Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning”, Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang

• ACL'24-Findings “Latent Learningscape Guided In-context Learning”, Anlai Zhou, Sunshine Jiang, Yifei Liu, Yiquan Wu, Kun Kuang, Jun Xiao

• KBS “DuaPIN: Auxiliary task enhanced dual path interaction network for civil court view generation”, Nayu Liu, Luyao Ma, Yiquan Wu, Kaiwen Wei, Cunhang Fan, Yating Zhang.

• AAAI'24 “De-biased Attention Supervision for Text Classification with Causality”, Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang.

• NAACL'24-Findings “Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge”, Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang

• COLING'24 “Enhancing Court View Generation with Knowledge Injection and Guidance”, Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai.

• COLING'24 “From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction”, Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu and Ming Cai.

• EMNLP'23 (oral) “Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration”, Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang.

• ACL'23-Findings “Focus-aware Response Generation in Inquiry Conversation”, Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang.

• SIGIR'23 “ML-LJP: MultiLaw Aware Legal Judgment Prediction”, Yifei Liu*, Yiquan Wu*, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang.

• EMNLP'22 “Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework”, Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang.

• ACL'22 “De-Bias for Generative Extraction in Unified NER Task”, Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu.

• CICAI'22 “Similar Case Based Prison Term Prediction”, Siying Zhou, Yifei Liu, Yiquan Wu, Kun Kuang, Chunyan Zheng, Fei Wu.

• Artificial Intelligence and Law “LK-IB: a hybrid framework with legal knowledge injection for compulsory measure prediction”, Xiang Zhou, Qi Liu, Yiquan Wu, Qiangchao Chen, and Kun Kuang.

• EMNLP'20 “De-biased Court’s View Generation with Causality”, Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu.

📖 Educations

• 2019.09 - 2024.06, Ph.D., Computer Science, Zhejiang University, Hangzhou, China.

• 2023.12 - 2024.05, Visiting student, University of Innsbruck, Innsbruck, Austria.

• 2015.09 - 2019.06, Undergraduate, Computer Science, Zhejiang University, Hangzhou, China.

🎖 Honors and Awards

• 2019 Zhejiang Province Excellent Graduate (Top 3%)
• 2023 BOC Fundamental Subjects Scholarship (Top 1%)
• 2017,2022 Sports and Arts Scholarship (Top 1%)
• 2016,2017,2018,2020,2021,2023 Excellent Student of Zhejiang University (Top 8%)
• 2016,2017,2018 Academic Scholarship (Top 20%)

🏃 Sport Awards

• 2019 - 2024 Captain of the Zhejiang University Men’s Basketball Team.

• 2019, 2020, 2021 Recognized as an Outstanding Athlete by the Chinese University Basketball Association (CUBA).

• 2021 🥈 Second Place in the Chinese University Basketball Association (CUBA).

• 2020 🥉 Third Place in the Chinese University Basketball Association (CUBA).

• 2016, 2018, 2019, 2020, 2022 🥇🥇🥇🥇🥇 First Place in the Zhejiang Province University Basketball Association (ZUBA).

• 2019 🥇🥇 First Place in both the Men’s 100 meters and Javelin throw at the school sports meeting

💻 Internships

• 2018.11 - 2024.05, Damo Academy, Hangzhou.

• 2018.06 - 2018.10, YiWise, Hangzhou.