---
id: 20260621-T0-02
title: "Granularity-Regulated：测试时计算缩放（TTS）的推理加速方案"
title_en: "Granularity-Regulated Adaptive Efficiency for Test-Time Scaling"
url: https://ai.daily.yangsir.net/daily/20260621-T0-02
issue_date: 2026-06-21
publish_date: 2026-06-20T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2606.19354
---

# Granularity-Regulated：测试时计算缩放（TTS）的推理加速方案

arXiv新论文提出了一种针对测试时计算缩放（TTS）的自适应计算效率方案。该方案通过粒度调节优化验证器（Verifier），在不牺牲性能的前提下提升推理速度。

## English Version

**Granularity-Regulated Adaptive Efficiency for Test-Time Scaling**

A new arXiv paper proposes a granularity-regulated adaptive computational efficiency scheme for Test-Time Scaling (TTS). It optimizes the verifier to improve reasoning performance with better compute efficiency.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2606.19354)

**详情页**：https://ai.daily.yangsir.net/daily/20260621-T0-02

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