1. Summarizing patients’ problems from hospital progress notes using pre-trained sequence-to-sequence models;Gao,2022
2. Medically aware GPT-3 as a data generator for medical dialogue summarization;Chintagunta,2021
3. Pre-trained language model for biomedical question answering;Yoon,2019
4. Few-shot learning for identification of COVID-19 symptoms using generative pre-trained transformer language models;Jiang,2022
5. Zhao X, Li Z, Wu S, Zhan Y, Zhang C. Deep text matching in medical question answering system. In: Proceedings of the 2021 ACM international conference on intelligent computing and its emerging applications. 2021, p. 134–8.