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  • title: Reproduction and Extension of "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"
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            Reproduction and Extension of "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"
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            Reproduction and Extension of "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"

            Nov 28, 2022

            Speakers

            EE

            Erica Eaton

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            PN

            Pirouz Naghavi

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            About

            Scope of Reproducibility: The main claims we are trying to reproduce are that bias controlled training or combining counterfactual data augmentation, the positively biased data collected by Dinan et al. [5], and bias controlled training for the LIGHT dataset yields generated dialogue in which the percent of gendered words and male bias closely match the ground truth. Methodology: We fine-tuned a transformer model, pre-trained on Reddit data [1], using the ParlAI API [8] with counterfactual data…

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