---
id: 20260808-T0-11
title: "PRISM方法：用多模态数据合成让AI学会识别指令优先级"
title_en: "PRISM: Structured Multimodal Synthesis Helps AI Learn Instruction Priorities"
url: https://ai.daily.yangsir.net/daily/20260808-T0-11
issue_date: 2026-08-08
publish_date: 2026-08-07T04:00:00.000Z
category: research
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2608.05249
---

# PRISM方法：用多模态数据合成让AI学会识别指令优先级

PRISM是一种通过结构化多模态数据合成训练AI识别指令优先级的方法。当前多模态训练数据往往将复杂指令简化为单一问题，而真实场景下指令常捆绑多个不同权重要求。PRISM通过"评分量规理解"机制（rubric comprehension）帮助模型学会区分哪些需求更重要，提升复杂指令的跟随能力。

## English Version

**PRISM: Structured Multimodal Synthesis Helps AI Learn Instruction Priorities**

PRISM is a method for training AI to recognize instruction priorities through structured multimodal data synthesis. Current multimodal training data often reduces complex instructions to single questions, while real-world scenarios bundle multiple requirements of unequal importance. PRISM employs a 'rubric comprehension' mechanism to help models distinguish which requirements matter more, improving complex instruction following.

---

**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2608.05249)

**详情页**：https://ai.daily.yangsir.net/daily/20260808-T0-11

---

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