4 citations · 16 across the 20 of their papers we have counts for
21 papers
Composable Parametric Demographic Injection for Values Survey Simulation
Xinyuan Cao, Qingyi Pan, Bangde Du +7
Large language models (LLMs) are increasingly used as simulated respondents in computational social science, yet accurately reproducing population-specific heterogeneous response d…
Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories
Hexi Wang, Yujia Zhou, Bangde Du +7
Large language models (LLMs) offer a scalable approach to social simulation, but their credibility depends on how agents are constructed. Existing methods can partially reproduce p…
Co-Evolving LLM Evaluators and Policies via DynamicRubric
Beining Wang, Weihang Su, Hongtao Tian +8
Post-training with evaluator feedback on policy-induced samples serves as a major mechanism for improving large language models. As policies improve, these sampled responses become…
Generative Chinese Statute Retrieval
Yiteng Tu, Zitao Su, Weihang Su +5
Statute retrieval is a fundamental task in legal information retrieval, yet existing approaches struggle to bridge the gap between colloquial legal queries and formal statutory lan…
Civil Court Simulation with Large Language Models
Yifan Chen, Haitao Li, Kaiyuan Zhang +3
Court simulation bridges legal education and judicial practice, yet human-based simulations are costly and difficult to scale. Large language models (LLMs) offer a scalable alterna…
LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
Yifan Chen, Haitao Li, Yiran Hu +6
As large language models (LLMs) are increasingly applied to real-world legal tasks, evaluating the reliability of their open-ended legal responses has become essential. These tasks…
LegalOne: A Family of Foundation Models for Reliable Legal Reasoning
Haitao Li, Yifan Chen, Shuo Miao +13
While Large Language Models (LLMs) have demonstrated impressive general capabilities, their direct application in the legal domain is often hindered by a lack of precise domain kno…
Simulating Dispute Mediation with LLM-Based Agents for Legal Research
Junjie Chen, Haitao Li, Minghao Qin +6
Legal dispute mediation plays a crucial role in resolving civil disputes, yet its empirical study is limited by privacy constraints and complex multivariate interactions. To addres…
Chinese Court Simulation with LLM-Based Agent System
Kaiyuan Zhang, Jiaqi Li, Yueyue Wu +7
Mock trial has long served as an important platform for legal professional training and education. It not only helps students learn about realistic trial procedures, but also provi…
JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System
Weihang Su, Baoqing Yue, Qingyao Ai +6
This paper introduces JuDGE (Judgment Document Generation Evaluation), a novel benchmark for evaluating the performance of judgment document generation in the Chinese legal system.…
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
Haitao Li, Yifan Chen, Yiran Hu +7
Retrieval-augmented generation (RAG) has proven highly effective in improving large language models (LLMs) across various domains. However, there is no benchmark specifically desig…
CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation
Haitao Li, Jiaying Ye, Yiran Hu +8
Legal case documents play a critical role in judicial proceedings. As the number of cases continues to rise, the reliance on manual drafting of legal case documents is facing incre…
LegalAgentBench: Evaluating LLM Agents in Legal Domain
Haitao Li, Junjie Chen, Jingli Yang +10
With the increasing intelligence and autonomy of LLM agents, their potential applications in the legal domain are becoming increasingly apparent. However, existing general-domain b…
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Haitao Li, You Chen, Qingyao Ai +3
Large language models (LLMs) have made significant progress in natural language processing tasks and demonstrate considerable potential in the legal domain. However, legal applicat…
LeKUBE: A Legal Knowledge Update BEnchmark
Changyue Wang, Weihang Su, Hu Yiran +6
Recent advances in Large Language Models (LLMs) have significantly shaped the applications of AI in multiple fields, including the studies of legal intelligence. Trained on extensi…
Improving Legal Case Retrieval with Brain Signals
Ruizhe Zhang, Qingyao Ai, Ziyi Ye +3
The tasks of legal case retrieval have received growing attention from the IR community in the last decade. Relevance feedback techniques with implicit user feedback (e.g., clicks)…
Evaluation Ethics of LLMs in Legal Domain
Ruizhe Zhang, Haitao Li, Yueyue Wu +4
In recent years, the utilization of large language models for natural language dialogue has gained momentum, leading to their widespread adoption across various domains. However, t…
Gender Biased Legal Case Retrieval System on Users' Decision Process
Ruizhe Zhang, Qingyao Ai, Yiqun Liu +2
In the last decade, legal case search has become an important part of a legal practitioner's work. During legal case search, search engines retrieval a number of relevant cases fro…
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
Weihang Su, Qingyao Ai, Yueyue Wu +5
Legal case retrieval aims to help legal workers find relevant cases related to their cases at hand, which is important for the guarantee of fairness and justice in legal judgments.…
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
Haitao Li, Yunqiu Shao, Yueyue Wu +3
As an important component of intelligent legal systems, legal case retrieval plays a critical role in ensuring judicial justice and fairness. However, the development of legal case…
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process
Beining Wang, Ruizhe Zhang, Yueyue Wu +3
Given a specific query case, legal case retrieval systems aim to retrieve a set of case documents relevant to the case at hand. Previous studies on user behavior analysis have show…