Papers with image-to-image
A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models (2024.findings-emnlp)
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| Challenge: | Existing studies have highlighted the existence of social biases within large vision and language models. |
| Approach: | They propose a framework for systematically evaluating gender, race, and age biases in vision-language models with respect to professions. |
| Outcome: | The proposed framework covers all supported inference modes of the recent vision-language models, including image-to-text, text-to image, and image- to-image. |