16 citations · 18 across the 5 of their papers we have counts for
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cs.AI2025
Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement
Chengyuan Liu, Shihang Wang, Lizhi Qing +7
Recently, stepwise supervision on Chain of Thoughts (CoTs) presents an enhancement on the logical reasoning tasks such as coding and math, with the help of Monte Carlo Tree Search…
cs.AI2024★ 1 cited
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Weikang Yuan, Junjie Cao, Zhuoren Jiang +7
Large Language Models (LLMs) could struggle to fully understand legal theories and perform complex legal reasoning tasks. In this study, we introduce a challenging task (confusing…