activity
20202026
most citedDISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

26 citations · 67 across the 21 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2026

ParaAgent: Reinforcing Parallel Acting in Open-World Tool Environments

Shengbin Yue, Hongru Wang, Siyuan Wang +3

Language model agents are increasingly deployed in open-world tool environments, which require balancing exploring unknown capabilities and exploiting known ones. Existing methods…

cs.AI2026

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding

Hao Yan, Yuliang Liu, Xingchen Liu +5

Existing Multimodal Large Language Models (MLLMs) suffer from significant performance degradation on the long document understanding task as document length increases. This stems f…

cs.AI2026

STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering

Wei Chen, Lili Zhao, Zhi Zheng +2

Multi-hop question answering (MHQA) enables accurate answers to complex queries by retrieving and reasoning over evidence dispersed across multiple documents. Existing MHQA approac…

cs.AI2025

Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments

Zheng Jia, Shengbin Yue, Wei Chen +5

The gap between static benchmarks and the dynamic nature of real-world legal practice poses a key barrier to advancing legal intelligence. To this end, we introduce J1-ENVS, the fi…

cs.AI2020★ 1 cited

Hierarchical Reinforcement Learning for Automatic Disease Diagnosis

Cheng Zhong, Kangenbei Liao, Wei Chen +5

Motivation: Disease diagnosis oriented dialogue system models the interactive consultation procedure as Markov Decision Process and reinforcement learning algorithms are used to so…