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Preprint Oct 2026

Asymmetric Looped Transformers: Fixed Global Representations for an Iterative Decoder

Looped Transformers increase effective depth by repeatedly applying shared layers, offering a way to scale computation without increasing parameter count. However, full-stack looping places context construction and iterative state refinement within the same recurrent computation, without explicitly distinguishing their...

Cheng Liang, Teng-Fei Zhang, Wenjie Du et al. · 2 citations

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