Sihyun Oh

Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences

Recently, language models have accelerated the improvement in natural language processing. However, recent studies have highlighted a significant issue: social biases inherent in training data can lead models to learn and propagate these biases. In this study, we propose a contrastive learning metho…