MLL-Lab/MultiBBQ

MultiBBQ: A Fairness Benchmark for Multimodal LLMs Controllable diagnosis of social bias in multimodal LLMs with synthetic images. MultiBBQ is a fairness evaluation benchmark for multimodal large language models (MLLMs). It extends the language-only BBQ benchmark into the visual domain: each attested social bias is paired with an AI-generated photorealistic image of two people who differ only in the target demographic, so a model's fairness can be… See the full description on the dataset page: https://huggingface.co/datasets/MLL-Lab/MultiBBQ.

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