Kaleb E Smith
Nvidia (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, Text Readability and Simplification
Most-Cited Works
- → A large language model for electronic health records(2022)777 cited
- → Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction(2024)56 cited
- → GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records(2022)52 cited
- → GatorTron: A Large Language Model for Clinical Natural Language Processing(2022)29 cited
- → Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need(2024)26 cited
- → A Study of Generative Large Language Model for Medical Research and Healthcare(2023)16 cited
- → MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters(2025)2 cited
- → Does Biomedical Training Lead to Better Medical Performance?(2024)2 cited
- → Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine- and Deep- Learning with Multi-Sensor Observations(2024)1 cited
- → Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning(2024)1 cited