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M. Tikhonova

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#artificial intelligence Preprint Sep 2026

Closing the Loop: Practical Training Recipes for Looped Language Models

Looped language models increase effective depth by repeatedly applying a shared block of layers, but existing large-scale recipes require multi-stage training over trillions of tokens, while the benefits of recurrence remain difficult to separate from differences in data and training. In this work, we establish practic...

Andrei Marchenko, В. Е. Безруков, Oleg Kashurin et al. · 2 citations

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