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Andrei Piterbarg

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#machine learning Preprint Oct 2026

Adaptive-Depth Is a Finishing Stage

Looped transformers reuse the same layer multiple times, allowing inference compute to be adjusted without changing the model. Recent adaptive-depth methods train the model across multiple loop depths from the beginning of training. We introduce fixed-first training, which varies model depth only during a short final p...

Andrei Piterbarg, Sean McLeish, Dhruv B. Pai et al. · 0 citations

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