most citedToward Global Large Language Models in Medicine

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL20261 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +47

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…

cs.CL2025

HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models

Boya Zhang, Alban Bornet, Rui Yang +2

How do language models use contextual information to answer health questions? How are their responses impacted by conflicting contexts? We assess the ability of language models to…

cs.CL2025

Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations

Rui Yang, Matthew Yu Heng Wong, Huitao Li +13

The rapid growth of medical knowledge and increasing complexity of clinical practice pose challenges. In this context, large language models (LLMs) have demonstrated value; however…

cs.CL2025

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine

Rui Yang, Huitao Li, Matthew Yu Heng Wong +12

Natural language processing (NLP) has been traditionally applied to medicine, and generative large language models (LLMs) have become prominent recently. However, the differences b…

q-bio.OT2025

Retrieval-Augmented Generation in Biomedicine: A Survey of Technologies, Datasets, and Clinical Applications

Jiawei He, Boya Zhang, Hossein Rouhizadeh +6

Large language models (LLMs) in biomedicine face a fundamental conflict between static parameter knowledge and the dynamic nature of clinical evidence. Retrieval-Augmented Generati…

cs.CL2025

MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering

Feiyang Li, Yingjian Chen, Haoran Liu +10

Large Language Models (LLMs) have shown remarkable progress in medical question answering (QA), yet their effectiveness remains predominantly limited to English due to imbalanced m…