Author

Sehoon Kim

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#machine learning Preprint Sep 2026

LoopSpec: Pipelined Self-Speculative Decoding for Looped Transformers

This work proposes LoopSpec, a training-free self-speculative decoding framework tailored for Looped Transformers that introduces a selective second proposal from deeper recurrent depth while ensuring lossless decoding under both greedy and sampling regimes.

SangLyul Cho, Lang-Qing Cui, Sehoon Kim et al. · 1 citation