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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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