Using cosine similarity in CLIP embedding space, the paper finds that male and female face sets are differentially associated with occupation and activity statements across all four tested models.
Vision-language models performing zero-shot tasks exhibit disparities between gender groups
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Vision-Language Models display a strong gender bias
Using cosine similarity in CLIP embedding space, the paper finds that male and female face sets are differentially associated with occupation and activity statements across all four tested models.