AINeutralarXiv – CS AI · 9h ago6/10
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Differentiable Efficient Operator Search
Researchers propose Efficient Operator Search, a differentiable framework that automates the design of token-reduction operators for multimodal foundation models. The approach unifies previously distinct manual techniques like pruning and merging into a shared search space, discovering hybrid operators that achieve better accuracy-efficiency trade-offs than hand-designed baselines.