CulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning

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Researchers introduced CulturalMenuBench to test if vision models actually understand culinary processes or are just memorizing pixels. While models ace basic food recognition, their performance collapses when asked to link ingredients to specific regional cultures or cooking steps. This highlights a massive 'knowledge-application gap' in current multimodal AIs.