Siying Zhou — accepted AI-conference papers

2025

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation

Siying Zhou, Yiquan Wu, Hui Chen, Xueyu Hu, Kun Kuang, Adam Jatowt +2

EMNLP 2025

Legal claims refer to the plaintiff’s demands in a case and are essential to guiding judicial reasoning and case resolution. While many works have focused on improving the efficiency of legal professionals, the research on helping non-professionals (e.g., plaintiffs) remains unexplored. This paper e

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2023

Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration

Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang +3

EMNLP 2023long main

Legal Judgment Prediction (LJP) has become an increasingly crucial task in Legal AI, i.e., predicting the judgment of the case in terms of case fact description. Precedents are the previous legal cases with similar facts, which are the basis for the judgment of the subsequent case in national legal…

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