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Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation
We also study VWSD as a unimodal problem by converting to text-to-text and image-to-image retrieval, as well as question-answering (QA), to fully explore the capabilities of relevant models.
Language Models as Knowledge Bases for Visual Word Sense Disambiguation
Visual Word Sense Disambiguation (VWSD) is a novel challenging task that lies between linguistic sense disambiguation and fine-grained multimodal retrieval.
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