Papers with Human Face

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ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities (2024.emnlp-main)

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Challenge: Large vision-language models have been widely used but stereotypical biases are unexplored.
Approach: They propose a framework to SCAN stereotypical bias within large vision-language models . they examine stereotype biases with respect to gender and race in three scenarios .
Outcome: The proposed framework can reduce stereotypical biases in large vision-language models . the currently popular models show significant stereotype biase .

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