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            Our evaluation compares GRADIEND to other state-of-the-art debiasing methods, including [CDA](https://arxiv.org/abs/1906.04571), [Dropout](https://arxiv.org/abs/1207.0580), [INLP](https://arxiv.org/abs/2004.07667), [RLACE](https://arxiv.org/abs/2201.12091), [LEACE](https://arxiv.org/abs/2306.03819), [SelfDebias](https://arxiv.org/abs/2402.01981), and [SentenceDebias](https://aclanthology.org/2020.acl-main.488).
         
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            See [Appendix D.2 and Table  
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            ## Citation
         
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            Our evaluation compares GRADIEND to other state-of-the-art debiasing methods, including [CDA](https://arxiv.org/abs/1906.04571), [Dropout](https://arxiv.org/abs/1207.0580), [INLP](https://arxiv.org/abs/2004.07667), [RLACE](https://arxiv.org/abs/2201.12091), [LEACE](https://arxiv.org/abs/2306.03819), [SelfDebias](https://arxiv.org/abs/2402.01981), and [SentenceDebias](https://aclanthology.org/2020.acl-main.488).
         
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            See [Appendix D.2 and Table 12](https://arxiv.org/abs/2502.01406) of the paper for full results.
         
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            ## Citation
         
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