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[Paper] WaveFront Decoding: Parallelized Self-Speculative Decoding for Looped Language Models

Looped language models repeatedly apply a weight-shared block to increase effective depth without increasing parameter count, but the resulting T sequential recurrent-block calls per generated token substantially increase decoding latency. To address the issue, we introduce Wavefront Decoding (WFD)…

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  1. 2026-10-06 13:18 · r/LocalLLaMA
    [Paper] WaveFront Decoding: Parallelized Self-Speculative Decoding for Looped Language Models

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