Differentiable Efficient Operator Search

In three linesEfficient Operator Search introduces a differentiable framework to automatically optimize token-reduction operators in multimodal foundation models. The method searches where to reduce tokens, how many to retain, and how to process reduced information. Experiments demonstrate competitive accuracy-efficiency trade-offs, especially under aggressive visual-token reduction.

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