2DAMA adapts model weights with a modified concept-erasure projection that erases stereotypical gender associations while preserving factual gender signals, and reports bias reductions in English and in English-to-German/Czech/Russian translation.
Zou, Venkatesh Saligrama, and Adam Tauman Kalai
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Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation
2DAMA adapts model weights with a modified concept-erasure projection that erases stereotypical gender associations while preserving factual gender signals, and reports bias reductions in English and in English-to-German/Czech/Russian translation.