Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions

Himanshu Thakur · Atishay Jain · Praneetha Vaddamanu · Paul Pu Liang · Louis‐Philippe Morency

24 citations0/0 files storedProceedings of the conference - Association for Computational Linguistics. Meeting

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Ethics and Social Impacts of AI Gender Studies in Language Hate Speech and Cyberbullying Detection

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Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang, Louis-Philippe Morency. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2023.

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2021StereoSet: Measuring stereotypical bias in pretrained language models 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models 2019Measuring Bias in Contextualized Word Representations 2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection 2020Gender Bias in Neural Natural Language Processing 2020Towards Debiasing Sentence Representations 2021Towards Understanding and Mitigating Social Biases in Language Models 2022An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

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