most citedMoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 4 cited

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models

Leyang Shen, Gongwei Chen, Rui Shao +2

Multimodal large language models (MLLMs) have demonstrated impressive capabilities across various vision-language tasks. However, a generalist MLLM typically underperforms compared…