---
id: 20260415-T0-13
title: "ExecTune：用引导模型高效控制黑盒LLM"
title_en: "ExecTune: Efficient Black-Box LLM Control with Guide Models"
url: https://ai.daily.yangsir.net/daily/20260415-T0-13
issue_date: 2026-04-15
publish_date: 2026-04-14T04:00:00.000Z
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2604.09741
---

# ExecTune：用引导模型高效控制黑盒LLM

论文提出ExecTune方法，通过引导模型有效控制黑盒LLM，降低推理成本。该技术将昂贵的推理过程分解为可重用的中间表示，显著减少了API调用成本，特别适合大规模部署场景。

## English Version

**ExecTune: Efficient Black-Box LLM Control with Guide Models**

A paper introduces ExecTune, a method that uses guide models to effectively control black-box LLMs while reducing inference costs. It breaks down expensive reasoning into reusable intermediate representations, significantly cutting API expenses for large-scale deployments.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2604.09741)

**详情页**：https://ai.daily.yangsir.net/daily/20260415-T0-13

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*