activity
20242026
most citedLegalAgentBench: Evaluating LLM Agents in Legal Domain

1 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL20261 cited

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…

cs.CY2025

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…

cs.CL2025

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.…

cs.CL2025

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…

cs.CL2025

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…

cs.CL20241 cited

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…