---
id: 20260630-T0-16
title: "EntMTP：熵引导多Token预测加速LLM推理"
title_en: "EntMTP: Accelerating LLM Inference with Entropy Guided Multi Token Prediction"
url: https://ai.daily.yangsir.net/daily/20260630-T0-16
issue_date: 2026-06-30
publish_date: 2026-06-29T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2606.27550
---

# EntMTP：熵引导多Token预测加速LLM推理

新研究提出 EntMTP 框架，利用熵值引导多 Token 预测。该方法通过在训练中增加数据密度，在推理阶段实现更高效的自我推测解码，显著提升了文本生成质量并降低了推理延迟。

## English Version

**EntMTP: Accelerating LLM Inference with Entropy Guided Multi Token Prediction**

New research proposes EntMTP, a framework using entropy-guided multi-token prediction. It increases data density during training and enables more efficient self-speculative decoding, significantly improving text quality and reducing latency.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2606.27550)

**详情页**：https://ai.daily.yangsir.net/daily/20260630-T0-16

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