---
id: 20260529-T0-15
title: "EvoSpec：动态适配的投机解码加速方案"
title_en: "EvoSpec: Dynamic Speculative Decoding Acceleration"
url: https://ai.daily.yangsir.net/daily/20260529-T0-15
issue_date: 2026-05-29
publish_date: 2026-05-28T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2605.27390
---

# EvoSpec：动态适配的投机解码加速方案

arXiv发布EvoSpec方法，解决大模型推理中输出层的词汇量瓶颈问题。传统静态剪枝方法难以应对动态词汇需求。EvoSpec通过实时词汇和参数自适应，在保持精度的同时降低计算开销。实验显示其推理速度提升40%，适用于需要高效生成的场景。

## English Version

**EvoSpec: Dynamic Speculative Decoding Acceleration**

arXiv published EvoSpec, addressing the vocabulary bottleneck in LLM inference output layers. Traditional static pruning struggles with dynamic vocabulary needs. EvoSpec achieves real-time vocabulary and parameter adaptation, reducing computational overhead while maintaining accuracy. Tests show 40% speedup, suitable for high-throughput generation scenarios.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2605.27390)

**详情页**：https://ai.daily.yangsir.net/daily/20260529-T0-15

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