InstructSee:通过动态查询生成的指令识别和反驱动的多模式检索
Guihe Gu1,2,3, Yuan Xue1,2,3, Zhengqian Wu1,2,3
1National Engineering Research Center for Multimedia Software (NERCMS), Wuhan 430072, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了用于交叉模式检索的指令意识框架,增强了大型语言模型 (LLM),以更好地理解复杂指令的用户意图,以改进视觉语言对齐.
科学领域:
- 人工智能
- 计算机视觉
- 自然语言处理
背景情况:
- 跨模式检索旨在弥合不同类型的数据,特别是将图像与文本对齐.
- 目前的方法在解释复杂或不断变化的用户指令时面临挑战.
- 了解多式联网查询中的隐性用户意图仍然是一个重要的研究差距.
研究的目的:
- 开发一种新的跨模式代表性学习框架.
- 增强系统从自然语言指令中捕获用户意图的能力.
- 提高多式联网检索系统的适应性和准确性.
主要方法:
- 提出了一种基于指令的动态查询生成机制.
- 大型语言模型 (LLM) 的综合语义推理能力.
- 基于指令和用户反的动态构建和代精细化查询表示.
主要成果:
- 该框架显著提高了标准基准的检索准确性和适应性.
- 超过现有的固定查询基线方法.
- 展示了增强的跨模式对齐和泛化能力.
结论:
- 提出的框架有效地推断并适应隐含的检索意图.
- 在复杂的基于指令的跨模式检索中,LLM增强的动态查询生成至关重要.
- 这种方法为更直观,更准确的多式联运信息获取提供了有希望的方向.
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