4 papers
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…
Implicit Bias-Like Patterns in Reasoning Models
Messi H. J. Lee, Calvin K. Lai
Implicit biases refer to automatic mental processes that shape perceptions, judgments, and behaviors. Previous research on "implicit bias" in LLMs focused primarily on outputs rath…
Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4
Messi H. J. Lee, Calvin K. Lai
Homogeneity bias in Large Language Models (LLMs) refers to their tendency to homogenize the representations of some groups compared to others. Previous studies documenting this bia…
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…