41 citations · 59 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 16 cited
Bioformer: an efficient transformer language model for biomedical text mining
Li Fang, Qingyu Chen, Chih-Hsuan Wei +2
Pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) have achieved state-of-the-art performance in natural language processing (NLP) ta…
cs.CL2022★ 2 cited
Multi-label topic classification for COVID-19 literature with Bioformer
Li Fang, Kai Wang
We describe Bioformer team's participation in the multi-label topic classification task for COVID-19 literature (track 5 of BioCreative VII). Topic classification is performed usin…
q-bio.GN2021★ 41 cited
Deciphering the Language of Nature: A transformer-based language model for deleterious mutations in proteins
Theodore Jiang, Li Fang, Kai Wang
Various machine-learning models, including deep neural network models, have already been developed to predict deleteriousness of missense (non-synonymous) mutations. Potential impr…