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GLOSSARY

looped

appears in 1 paper titles

Definition

Describes an architecture that feeds activations through the same block repeatedly instead of through a stack of distinct layers. Because the weights are shared, extra iterations buy effective depth and extra inference compute without adding parameters, which makes looped models a natural way to spend more compute at test time on harder inputs. Contrast with ordinary depth, where each layer holds its own parameters and cannot be re-run for extra thinking.

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