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Benhao Huang

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#machine learning Preprint Oct 2026

Towards Looped Models Done Right, Part II: Rethinking at Fixed Points

Every recurrence of a looped language model adds cost in training, decoding, prefill, and reinforcement learning (RL). The closer recurrent states get to fixed points, the less the path to them matters. This enables truncated backpropagation in training; terminal key-value (KV) sharing for decoding with almost no loss...

Benhao Huang, Chu-Fan Shi, Jun-Lin Chen et al. · 0 citations

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