MM-Vet is a new benchmark for large multimodal models that evaluates 16 integrations of 6 core vision-language capabilities using an LLM-based scorer for open-ended answers.
8B InstructBLIP-14B (Dai et al., 2023) Vicuna-13B (Zheng et al., 2023) 14B Transformers Agent (GPT-4 as agent) (Huggingface, 2023) –
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MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
MM-Vet is a new benchmark for large multimodal models that evaluates 16 integrations of 6 core vision-language capabilities using an LLM-based scorer for open-ended answers.