naver-ai/mmrefine
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资源简介：
MMRefine是一个多模态修正基准，旨在评估多模态大型语言模型（MLLMs）在检测和纠正给定初始解决方案中的错误的能力。该数据集包含六个不同的场景和六种错误类型，用于评估模型在推理过程中的错误修正能力。
MMRefine is a MultiModal Refinement benchmark designed to evaluate the error refinement capabilities of Multimodal Large Language Models (MLLMs) in detecting and correcting errors within a given initial solution across six distinct scenarios and six error types, assessing the models error correction ability during the inference process.
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naver-ai
