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Vision-Language Models Suppress Female Representations Under Ambiguous Input

Marin-Llobet, Arnau et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitioncomputers-and-societyhuman-computer-interaction
Alignment teaches vision-language models (VLMs) to avoid expressing demographic biases, and when gender is clearly visible they largely succeed. Far less is known about ambiguous inputs (a worker in full gear, a figure seen from behind), cases common in practice yet rarely studied. We find that mini
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