most citedLarge Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans

43 citations · 44 across the 4 of their papers we have counts for

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cs.CV2025

Visual Cues of Gender and Race are Associated with Stereotyping in Vision-Language Models

Messi H. J. Lee, Soyeon Jeon, Jacob M. Montgomery +1

Current research on bias in Vision Language Models (VLMs) has important limitations: it is focused exclusively on trait associations while ignoring other forms of stereotyping, it…

cs.CV2024

More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models

Messi H. J. Lee, Jacob M. Montgomery, Calvin K. Lai

Vision Language Models (VLMs), exemplified by GPT-4V, adeptly integrate text and vision modalities. This integration enhances Large Language Models' ability to mimic human percepti…