January 1, 2021Open Access

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

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Abstract

Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021.

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Manela et al. (2021) studied this question.

synapsesocial.com/papers/6a0edb7efca5c6c9f447a850 https://doi.org/10.18653/v1/2021.eacl-main.190

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Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Abstract

Discussion

Cite This Study

Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Abstract

Discussion

Cite This Study

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