GME achieves state-of-the-art results in universal multimodal retrieval by training on a balanced synthetic multimodal dataset.
BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models
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GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
GME achieves state-of-the-art results in universal multimodal retrieval by training on a balanced synthetic multimodal dataset.