"Debiasing Vision-Language Models via Biased Prompts. (arXiv:2302.00070v1 [cs.LG])" — A general approach for debiasing vision-language foundation models by projecting out biased directions in the text embedding by debiasing only the text embedding with a calibrated projection matrix to yield robust classifiers and fair generative models.