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Showing 1 to 1 of 1 for “"Multimodal Retrieval"”.
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Conversational Multimodal LLMs for Food Nutritional Information Retrieval: A Systematic Evaluation
… systematically evaluates eight state-of-the-art multimodal large language models (including GPT-4o, Qwen 2, and Qwen 2.5, DeepSeek, and LLaVA), in a zero-shot setting on two real-world datasets, Nutrition5k and MetaFood3D. To identify which types of information most improve model predictions, a …