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News/There Is No Free Loop: When Does Looping a Trained Model Pay for Its Inference Compute?
arxiv
PublishedNovember 2, 2026 at 5:00 AM

There Is No Free Loop: When Does Looping a Trained Model Pay for Its Inference Compute?

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arXiv:2610.42030v1 Announce Type: new Abstract: Looping re-applies a block of layers so that each token passes through the block more than once. Adding a loop to a trained model is attractive because it leaves the parameter count, and hence the disk size, the memory footprint and the training cost u

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