---
id: 20260403-T0-02
title: "Self-Routing：无需参数专家路由，直接从隐藏状态分配"
title_en: "Self-Routing: Parameter-Free Expert Routing from Hidden States"
url: https://ai.daily.yangsir.net/daily/20260403-T0-02
issue_date: 2026-04-03
publish_date: 2026-04-02T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.00421
---

# Self-Routing：无需参数专家路由，直接从隐藏状态分配

最新研究提出Self-Routing方法，无需额外参数即可在混合专家模型中动态分配专家。该方法通过分析隐藏状态直接决定专家选择，避免传统路由器的计算开销。实验显示，在保持模型性能的同时，推理速度提升15%，内存占用减少20%。这项技术可加速大模型推理，降低部署成本，尤其适用于需要快速响应的实时服务场景。

## English Version

**Self-Routing: Parameter-Free Expert Routing from Hidden States**

Researchers introduce Self-Routing, a parameter-free method for dynamically assigning experts in MoE models by analyzing hidden states directly. It eliminates the need for traditional routers, achieving 15% faster inference and 20% reduced memory usage while maintaining performance. This approach significantly lowers deployment costs and enhances efficiency for real-time LLM services.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.00421)

**详情页**：https://ai.daily.yangsir.net/daily/20260403-T0-02

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