Integrating UMLS Knowledge into Large Language Models for Medical Question Answering. - Rui Yang 016; Edison Marrese-Taylor; Yuhe Ke; Lechao Cheng; Qingyu Chen 001; Irene Li (CoRR, 2023)

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. - Rui Yang 016; Qingcheng Zeng; Keen You; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Jeremy Goldwasser; Amisha D. Dave; Tiarnan D. L. Keenan; Emily Y. Chew; Dragomir Radev; et al. (CoRR, 2023)

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias. - Yuhe Ke; Rui Yang 016; Sui An Lie; Taylor Xin Yi Lim; Hairil Rizal Abdullah; Daniel Shu Wei Ting; Nan Liu 003 (CoRR, 2024)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. - Rui Yang 016; Boming Yang; Sixun Ouyang; Tianwei She; Aosong Feng; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (CoRR, 2024)

Disparities in clinical studies of AI enabled applications from a global perspective. - Rui Yang 016; Sabarinath Vinod Nair; Yuhe Ke; Danny D'Agostino; Mingxuan Liu; Yilin Ning; Nan Liu 003 (npj Digit. Medicine, 2024)

Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective. - Rui Yang 016; Boming Yang; Xinjie Zhao 004; Fan Gao; Aosong Feng; Sixun Ouyang; Moritz Blum; Tianwei She; Yuang Jiang; Freddy Lécué; Jinghui Lu; Irene Li (WWW (Companion Volume), 2025)