Author

Sean McLeish

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Preprint Nov 2026

Library of Layers (LoL): Adaptively Ordering Transformer Layers at Runtime

Computer programmers chain together the same reusable computational primitives, for example, conditional statements or loops, but in different orders to implement different algorithms. In contrast, existing language model architectures always execute their layers in the same order. We introduce Library of Layers (LoL),...

Abdellah Rahmani, Sean McLeish, Ang Li et al. · 0 citations

#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