1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives
Yuan Shen, Xiaojun Wu, Linghua Yu
This study aims to simulate real-world clinical scenarios to systematically evaluate the ability of Large Language Models (LLMs) to extract core medical information from patient ch…
When Tools Hurt LLM Reasoning: State-Dependent Belief Revision under External Evidence
Yufeng Zhao, Junnan Liu, Hongwei Liu +4
Tool use is often assumed to monotonically improve reasoning, where external evidence is expected to help when relevant and be ignored when irrelevant. We show that this assumption…
IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
Yuanhao Shen, Daniel Xavier de Sousa, Ricardo Marçal +2
Innovation is a key driving force of human civilization. As the body of knowledge has grown considerably, bridging knowledge across different disciplines, where significant innovat…
Validating the Effectiveness of a Large Language Model-based Approach for Identifying Children's Development across Various Free Play Settings in Kindergarten
Yuanyuan Yang, Yuan Shen, Tianchen Sun +1
Free play is a fundamental aspect of early childhood education, supporting children's cognitive, social, emotional, and motor development. However, assessing children's development…