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Información - Gender Bias Mitigation in Language Models
Debiasing Algorithm through Model Adaptation: Gender Bias Mitigation in Language Models
Novel method DAMA reduces gender bias in language models while maintaining performance.
Locating and Mitigating Gender Bias in Large Language Models: A Unified Framework
Integrating the processes of locating and mitigating gender bias within a unified framework is essential for effective debiasing in large language models.
Projective Methods for Mitigating Gender Bias in Pre-trained Language Models: Critical Analysis and Debiasing Strategies
Projective methods can effectively reduce intrinsic and downstream bias in pre-trained language models, but intrinsic bias reduction does not guarantee downstream bias mitigation.
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