2 citations · 2 across the 3 of their papers we have counts for
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cs.CL2026
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
A. Jian Yang, An Huang, Bo Dan +173
We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1 is developed through a three-stage process: (…
cs.CL2026
Exploring Lightweight Large Language Models for Court View Generation
Zhitian Hou, Tianyong Hao, Nanli Zeng +2
Criminal Court View Generation (CVG) is a critical task in Legal Artificial Intelligence (Legal AI), involving the generation of court view based on case facts. In this work, we sy…
cs.CL2025★ 2 cited
Large Language Models Meet Legal Artificial Intelligence: A Survey
Zhitian Hou, Zihan Ye, Nanli Zeng +2
Large Language Models (LLMs) have significantly advanced the development of Legal Artificial Intelligence (Legal AI) in recent years, enhancing the efficiency and accuracy of legal…