250 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Xiaoqian Jiang3 profiles5 · h 23
- Hua Xu3 profiles4 · h 7
- Jingcheng Du3 profiles4 · h 21
- Kirk Roberts3 profiles4 · h 36
- Rui Zhang3 profiles3 · h 77
- Yan Hu2 profiles3 · h 9
- Zhiyong Lu2 profiles3 · h 18
- Cui Tao2 profiles2 · h 30
- Fang Li2 profiles2 · h 12
- Jimin Huang2 profiles2 · h 19
- Kalpana Raja2 profiles2 · h 15
- Qingyu Chen2 profiles2 · h 32
- The University of Texas Health Science Center at HoustonUS15 papers
- Yale UniversityUS4 papers
- The University of Texas MD Anderson Cancer CenterUS3 papers
- National Institutes of HealthUS2 papers
- United States National Library of MedicineUS2 papers
- University of Maryland, BaltimoreUS2 papers
- Baylor College of MedicineUS1 paper
- Boston Children's HospitalUS1 paper
- Cornell UniversityUS1 paper
- Foundation for the National Institutes of HealthUS1 paper
- Harvard UniversityUS1 paper
- Houston MethodistUS1 paper
6 papers · 1 filter
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…
A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients
Yiming Li, Fang Li, Kirk Roberts +3
Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care.…
Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models
Zehan Li, Yan Hu, Scott Lane +7
Accurate identification and categorization of suicidal events can yield better suicide precautions, reducing operational burden, and improving care quality in high-acuity psychiatr…
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
Enshuo Hsu, Kirk Roberts
The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily availabl…
Benchmarking large language models for biomedical natural language processing applications and recommendations
Qingyu Chen, Yan Hu, Xueqing Peng +18
The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data
Yuqi Si, Elmer V Bernstam, Kirk Roberts
The paradigm of representation learning through transfer learning has the potential to greatly enhance clinical natural language processing. In this work, we propose a multi-task p…