Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, and Jianhua
Yao. scbert as a large-scale pretrained deep language model for cell type annotation of single-cell rna-seq
data. Nature Machine Intelligence, 4(10):852–866, 2022a.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, and Hongxia Yang. Prompt tuning for generative

multimodal pretrained models. arXiv preprint arXiv:2208.02532, 2022b.

Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, and Bingbing
Ni. Medmnist v2: A large-scale lightweight benchmark for 2d and 3d biomedical image classification.
arXiv preprint arXiv:2110.14795, 2021.

Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie, and Sheng Yu. Biobart: Pretraining and
evaluation of a biomedical generative language model. In Proceedings of the 21st Workshop on Biomedical
Language Processing, pp. 97–109, 2022.

21
BiomedGPT