Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach.

@inproceedings{shokrollahi-2023-intersectional, author = {Omid Shokrollahi}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {5181--5184}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3616003}, doi = {https://doi.org/10.1145/3583780.3616003} }