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PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
Yuting Huang, Yinghao Hu, Qian Xiao +7
Large language models (LLMs) have achieved remarkable success in general-domain tasks, yet their direct application to the legal domain remains challenging due to hallucinated lega…
WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report
Yiquan Wu, Yuhang Liu, Yifei Liu +4
Large language models have demonstrated remarkable capabilities across a wide range of natural language processing tasks, yet their application in the legal domain remains challeng…
SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent
Wenlin Zhong, Jinluan Yang, Yiquan Wu +3
Reinforcement Learning (RL) has empowered Large Language Models (LLMs) to master autonomous search for complex question answering. However, particularly within multi-turn search sc…
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
Wenlin Zhong, Chengyuan Liu, Yiquan Wu +5
While reinforcement learning with verifiable rewards (RLVR) has advanced LLM reasoning in structured domains like mathematics and programming, its application to general-domain rea…
Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM
Xiao Chi, Wenlin Zhong, Yiquan Wu +4
Legal Article Prediction (LAP) is a critical task in legal text classification, leveraging natural language processing (NLP) techniques to automatically predict relevant legal arti…
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
Siying Zhou, Yiquan Wu, Hui Chen +6
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 efficien…
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
Yuting Huang, Meitong Guo, Yiquan Wu +6
Recent advances in LegalAI have primarily focused on individual case judgment analysis, often overlooking the critical appellate process within the judicial system. Appeals serve a…
Xinyu: An Efficient LLM-based System for Commentary Generation
Yiquan Wu, Bo Tang, Chenyang Xi +13
Commentary provides readers with a deep understanding of events by presenting diverse arguments and evidence. However, creating commentary is a time-consuming task, even for skille…
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration
Yiquan Wu, Siying Zhou, Yifei Liu +6
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…