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Technical University of Munich, Center for Machine Learning
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A mere 15 visual attributes drive 80% of social bias in MLLMs, highlighting the concentrated nature of bias in visual cues.
LLMs can flip their answers up to 97.3% of the time when faced with counterarguments, revealing a critical instability that accuracy metrics overlook.