activity
20162024
most citedImproving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting

2 citations · 7 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2021★ 2 cited

Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting

Zahra Fatemi, Chen Xing, Wenhao Liu +1

Existing studies addressing gender bias of pre-trained language models, usually build a small gender-neutral data set and conduct a second phase pre-training on the model with such…