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Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
16 references·7 citing·26 second hop
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2019Mitigating Gender Bias in Natural Language Processing: Literature Review491 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2019Gender Bias in Contextualized Word Embeddings334 cited
  • 2020Gender Bias in Neural Natural Language Processing266 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them155 cited

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  • 2019Assessing Social and Intersectional Biases in Contextualized Word Representations133 cited
  • 2016Women through the glass ceiling: gender asymmetries in Wikipedia114 cited
  • Cited by

    • 2023Probing Pre-Trained Language Models for Cross-Cultural Differences in Values59 cited
    • 2022Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models58 cited
    • 2023Gender bias in transformers: A comprehensive review of detection and mitigation strategies33 cited
    • 2023Stereotypes in ChatGPT: an empirical study32 cited
    • 2023Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting21 cited
    • 2022Choose Your Lenses: Flaws in Gender Bias Evaluation19 cited
    • 2025Fairness and social bias quantification in Large Language Models for sentiment analysis18 cited