2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP
Ewoenam Kwaku Tokpo, Toon Calders
Despite the evolution of language models, they continue to portray harmful societal biases and stereotypes inadvertently learned from training data. These inherent biases often res…
cs.CL2023
Model-based Counterfactual Generator for Gender Bias Mitigation
Ewoenam Kwaku Tokpo, Toon Calders
Counterfactual Data Augmentation (CDA) has been one of the preferred techniques for mitigating gender bias in natural language models. CDA techniques have mostly employed word subs…
cs.CL2022★ 2 cited
Text Style Transfer for Bias Mitigation using Masked Language Modeling
Ewoenam Kwaku Tokpo, Toon Calders
It is well known that textual data on the internet and other digital platforms contain significant levels of bias and stereotypes. Although many such texts contain stereotypes and…