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Pre-trained Language Models in Biomedical Domain: A Systematic Survey

This paper summarizes the recent progress of pre-trained language models in the biomedical domain and their applications in downstream biomedical tasks.

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Benyou Wang, Sribd & SDS, The Chinese University of Hong Kong, Shenzhen, China, Qianqian Xie, Jiahuan Pei, University of Amsterdam, Netherlands, Zhihong Chen, SRIBD & SSE, The Chinese University of Hong Kong, Shenzhen, China, Prayag Tiwari, School of Information Technology, Halmstad University, Sweden, Zhao Li, The University of Texas Health Science Center at Houston, USA, Jie Fu, Mila, University of Montreal, Canada (2024). Dataset: Pre-trained Language Models in Biomedical Domain: A Systematic Survey. https://doi.org/10.57702/kobufw7x

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2110.05006
Author	Benyou Wang
More Authors	Sribd & SDS The Chinese University of Hong Kong, Shenzhen, China Qianqian Xie Jiahuan Pei University of Amsterdam, Netherlands Zhihong Chen SRIBD & SSE, The Chinese University of Hong Kong, Shenzhen, China Prayag Tiwari School of Information Technology, Halmstad University, Sweden Zhao Li The University of Texas Health Science Center at Houston, USA Jie Fu Mila, University of Montreal, Canada