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Who cites «It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution»

76 papers of our library cite it (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution»

  1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
    Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
  2. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
  3. Measuring and Reducing Gendered Correlations in Pre-trained ModelsarXiv:2010.06032Kellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 253 citations
    The User-Aware Arabic Gender RewriterWorkshop on Gender-Inclusive Translation TechnologiesBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations

63 more papers of our library cite it; they have no page here yet.

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