References

• 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
• 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
• 2019Measuring Bias in Contextualized Word Representations348 cited
• 2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection286 cited
• 2020Gender Bias in Neural Natural Language Processing266 cited
• 2020Towards Debiasing Sentence Representations154 cited
• 2021Towards Understanding and Mitigating Social Biases in Language Models153 cited
• 2022An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models116 cited
• 2020Measuring and Reducing Gendered Correlations in Pre-trained Models109 cited
• 2019It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution107 cited
• 2021OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings33 cited
• 2022Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task30 cited

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