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UW-Madison, Korea University
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Single-vector embedding models are secretly powerful multi-vector retrievers, and SMART unlocks this hidden potential with a simple plug-and-play upgrade.
Pruning vision tokens across both the ViT and LLM can yield a 62% efficiency boost in video VLMs with minimal performance loss, and without complex text conditioning.