1 citations · 2 across the 6 of their papers we have counts for
7 papers
On the Diversity of Analogy Making in Large Language Models
Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos +2
Large Language Models (LLMs) have demonstrated remarkable potential for analogy making, a core cognitive capability that drives novelty and creativity. While prior research has ext…
Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy
Yuan Shen, Xiaojun Wu, Linghua Yu
Large language models (LLMs) are entering clinical practice based on benchmark accuracy that may fail to detect safety-relevant failure modes. Here we present AI-MASLD, a stress-au…
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…
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration
Yuanhao Shen, Xiaodan Zhu, Lei Chen
The tool-use ability of Large Language Models (LLMs) has a profound impact on a wide range of industrial applications. However, LLMs' self-control and calibration capability in app…