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Scheduling Recursive Reasoning in Looped Transformers

Wang, Boyuan et al.
arXiv (All) · Papers
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machine-learning
Recurrent reasoning models have attracted growing attention for scaling test-time computation, typically by iteratively refining latent states with shared parameters. However, these models apply each learned update with a fixed unit scale, which can be conservative when updates make persistent progr
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