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Kaleb E Smith

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Recent Articles
1.
Peng C, Yang X, Chen A, Yu Z, Smith K, Costa A, et al.
J Am Med Inform Assoc . 2024 Apr; 31(9):1892-1903. PMID: 38630580
Objective: To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning. Methods: We formulated...
2.
Peng C, Yang X, Smith K, Yu Z, Chen A, Bian J, et al.
J Biomed Inform . 2024 Mar; 153:104630. PMID: 38548007
Objective: To develop soft prompt-based learning architecture for large language models (LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in transfer learning and few-shot learning. Methods: We developed...
3.
Peng C, Yang X, Chen A, Smith K, PourNejatian N, Costa A, et al.
NPJ Digit Med . 2023 Nov; 6(1):210. PMID: 37973919
There are enormous enthusiasm and concerns in applying large language models (LLMs) to healthcare. Yet current assumptions are based on general-purpose LLMs such as ChatGPT, which are not developed for...
4.
Yang X, Chen A, PourNejatian N, Shin H, Smith K, Parisien C, et al.
NPJ Digit Med . 2022 Dec; 5(1):194. PMID: 36572766
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the...