---
id: 20260806-T0-06
title: "Crayotter：用群体相对偏好反向传播，训练长视频编辑智能体"
title_en: "Crayotter: New Method Trains Video Editing Agents with Group-Relative Preferences"
url: https://ai.daily.yangsir.net/daily/20260806-T0-06
issue_date: 2026-08-06
publish_date: 2026-08-05T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2608.02694
---

# Crayotter：用群体相对偏好反向传播，训练长视频编辑智能体

Crayotter 提出了一种名为群体相对偏好反向传播的方法，用于训练长时程视频编辑智能体。该方法解决了视频编辑任务中最终反馈稀疏、质量评估主观的问题，通过群体比较来学习奖励模型，从而更有效地指导智能体的决策过程。这对于开发能自主完成复杂视频编辑任务的 AI 系统具有重要意义。

## English Version

**Crayotter: New Method Trains Video Editing Agents with Group-Relative Preferences**

Crayotter introduces group-relative preference backpropagation to train long-horizon video editing agents. The method addresses sparse feedback and subjective quality evaluation in video editing, using group comparisons to learn reward models that guide agent decisions. This is significant for developing AI systems that autonomously handle complex video editing.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2608.02694)

**详情页**：https://ai.daily.yangsir.net/daily/20260806-T0-06

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