VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models

ArXi:2505.22897v2 Announce Type: replace While bias in large language models (LLMs) is well-studied, similar concerns in vision-language models (VLMs) have received comparatively less attention. Existing VLM bias studies often focus on portrait-style images and gender-occupation associations, overlooking broader and complex social stereotypes and their implied harm. This work