---
id: 20260426-T0-05
title: "研究发现：动态演示能优化AI测试计算分配"
title_en: "Dynamic Demos Optimize AI Compute Allocation"
url: https://ai.daily.yangsir.net/daily/20260426-T0-05
issue_date: 2026-04-26
publish_date: 2026-04-25T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.21018
---

# 研究发现：动态演示能优化AI测试计算分配

最新研究提出一种新的测试时计算分配框架，通过动态调整上下文演示来提升模型性能。该方法可避免静态分配或固定生成分布的限制，实验表明能显著提高输出质量。

## English Version

**Dynamic Demos Optimize AI Compute Allocation**

A new test-time compute allocation framework dynamically adjusts in-context demonstrations to improve model performance. This approach overcomes limitations of static allocation and fixed generation distributions, significantly boosting output quality as shown in experiments.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.21018)

**详情页**：https://ai.daily.yangsir.net/daily/20260426-T0-05

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