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Closing the Loop: Practical Training Recipes for Looped Language Models.

arXiv:2610.00673v1 Announce Type: cross Abstract: 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 rec

arXiv cs.AIResearch source·