English(EN) [Paper] WaveFront Decoding: Parallelized Self-Speculative Decoding for Looped Language Models

WaveFront Decoding 加速循环语言模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-06 13:18

研究人员推出了一种名为 WaveFront Decoding (WFD) 的新框架，旨在加速循环语言模型的推理速度。这种无需训练的方法利用中间递归输出来作为草稿预测，并通过批量递归调用来处理令牌状态。WFD 同时处理草稿和验证，与自回归解码相比实现了显著的加速，跨递归 KV 共享进一步提高了性能。 AI

影响 WaveFront Decoding 提供了一种潜在的方法来减少循环语言模型的推理延迟，使其更加高效。

排序理由该集群包含一篇详细介绍语言模型新解码方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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r/LocalLLaMA TIER_1 English(EN) · /u/pmttyji · 2026-10-06 13:18

[论文] WaveFront Decoding：用于循环语言模型的并行化自推测解码

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wz2e0o/paper_wavefront_decoding_parallelized/"> <img alt="[Paper] WaveFront Decoding: Parallelized Self-Speculative Decoding for Looped Language Models" src="https://preview.redd.it/3agb0qbdkuth1.png?width=14…

本文如何被排名

报道来源 [1]

[论文] WaveFront Decoding：用于循环语言模型的并行化自推测解码

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