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Evaluating Fairness in Large Vision-Language Models Across Diverse
  Demographic Attributes and Prompts

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts

25 June 2024
Xuyang Wu
Yuan Wang
Hsin-Tai Wu
Zhiqiang Tao
Yi Fang
    VLM
ArXiv (abs)PDFHTML

Papers citing "Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts"

3 / 3 papers shown
Title
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
Junhyuk Choi
Minju Kim
Yeseon Hong
Bugeun Kim
64
0
0
27 May 2025
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
Mohammad Saleha
Azadeh Tabatabaeib
148
0
0
14 Apr 2025
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach
Yiran Huang
Stephan Alaniz
Trevor Darrell
Zeynep Akata
VLM
139
2
0
25 Oct 2024
1