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"Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned ..."

Daniel de Vassimon Manela et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-30

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2101-09688
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-09688
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini:
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. CoRR abs/2101.09688 (2021)

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