March 29, 2024, 4:48 a.m. | Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

cs.CL updates on

arXiv:2403.19511v1 Announce Type: new
Abstract: Generative models have been showing potential for producing data in mass. This study explores the enhancement of clinical natural language processing performance by utilizing synthetic data generated from advanced language models. Promising results show feasible applications in such a high-stakes domain.

abstract advanced applications arxiv clinical data domain generated generative generative models improving language language model language models language processing natural natural language natural language processing nlp performance processing results show study synthetic synthetic data through type

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