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·