Hello! I’m currently wrapping up my Ph.D. journey at Zhejiang University, supervised by Prof. Kun Kuang and Prof. Fei Wu. I obtained my B.S. degree from Zhejiang University. I closely collaborate with Prof. Xiaozhong Liu from Worcester Polytechnic Institute and Prof. Adam Jatowt from the University of Innsbruck.

My research interests include LLM, NLP, LegalAI, and Causal Inference. I have published more than 10 papers in conferences such as ACL, EMNLP, NAACL, SIGIR, and AAAI, among others.

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

Currently, I am also a visiting student at the University of Innsbruck, Austria. I expect to graduate in June 2024 and am seeking job opportunities. Please feel free to contact me if you are interested!

🔥 News

• 2024.05:  🎉🎉 One paper is accepted by KDD’24!
• 2024.05:  🎉🎉 Two papers are accepted by ACL’24!
• 2024.05:  🎉🎉 One paper is accepted by Knowledge-Based Systems!
• 2024.04:  🎉🎉 One paper is accepted by Knowledge-Based Systems!
• 2024.03:  🎉🎉 One paper is accepted by NAACL’24!
• 2024.02:  🎉🎉 Two papers are accepted by COLING’24!
• 2023.12:  🎉🎉 One paper is accepted by AAAI’24!
• 2023.08:  🎉🎉 The open-sourced legal large language model wisdomInterrogatory is released!

📝 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.

• 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.

• SIGIR'20-Workshop “Automatic Text Revision with Application to Legal Documents”, Yiquan Wu, Kun Kuang, Fei Wu.

📖 Educations

• 2019.06 - Present, Ph.D., Zhejiang University, Hangzhou, China.

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

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

• 2012.09 - 2015.06, Yuyao High School, Ningbo, 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 - Present 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).

• 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 - Present, Damo Academy, Hangzhou.

• 2018.06 - 2018.10, YiWise, Hangzhou.