FairFlow : an automated approach to model-based counterfactual data augmentation for NLP
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Assessing and mitigating bias in natural language systems
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How far can it go? On intrinsic gender bias mitigation for text classification
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How far can it go? On intrinsic gender bias mitigation for text classification
Measuring fairness with biased rulers : a comparative study on bias metrics for pre-trained language models
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