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MultiModal Bias: Introducing a Framework for Stereotypical Bias
  Assessment beyond Gender and Race in Vision Language Models

MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models

16 March 2023
Sepehr Janghorbani
Gerard de Melo
    VLM
ArXivPDFHTML

Papers citing "MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models"

4 / 4 papers shown
Title
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
29
2
0
25 Oct 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Phillip Howard
Kathleen C. Fraser
Anahita Bhiwandiwalla
S. Kiritchenko
44
9
0
30 May 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
19
17
0
28 Feb 2024
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias
  in Image Search
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
Jialu Wang
Yang Liu
X. Wang
FaML
127
67
0
12 Sep 2021
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