Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias

1 code implementation • NAACL (GeBNLP) 2022 • Yarden Tal, Inbal Magar, Roy Schwartz

We find that while larger models outperform smaller ones, the probability that their mistakes are caused by gender bias is higher.

Language Modelling Memorization