activity
20242026
most citedMe LLaMA: Foundation Large Language Models for Medical Applications

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

EHRNavigator: A Multi-Agent System for Patient-Level Clinical Question Answering over Heterogeneous Electronic Health Records

Lingfei Qian, Mauro Giuffre, Yan Wang +11

Clinical decision-making increasingly relies on timely and context-aware access to patient information within Electronic Health Records (EHRs), yet most existing natural language q…

cs.CL2025★ 1 cited

Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications

Anran Li, Lingfei Qian, Mengmeng Du +18

Large Language Models (LLMs) have demonstrated significant potential in medicine, with many studies adapting them through continued pre-training or fine-tuning on medical data to e…

cs.IR2024★ 1 cited

CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models

Yan Wang, Jimin Huang, Huan He +13

Common Data Elements (CDEs) standardize data collection and sharing across studies, enhancing data interoperability and improving research reproducibility. However, implementing CD…

cs.SI2024★ 1 cited

LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs

Jiasheng Zhang, Jialin Chen, Ali Maatouk +6

With the advent of large language models (LLMs), managing scientific literature via LLMs has become a promising direction of research. However, existing approaches often overlook t…

cs.CL2024★ 8 cited

Me LLaMA: Foundation Large Language Models for Medical Applications

Qianqian Xie, Qingyu Chen, Aokun Chen +15

Recent advancements in large language models (LLMs) like ChatGPT and LLaMA show promise in medical applications, yet challenges remain in medical language comprehension. This study…