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Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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阿格斯:利用多视图图像,通过大型语言模型改善3D场景理解

Yifan Xu, Chao Zhang, Hanqi Jiang

    IEEE transactions on neural networks and learning systems
    |June 25, 2025
    PubMed
    概括

    阿格斯是一个3D多式模式框架,通过将2D图像与3D点云集成,提高了3D场景的理解,克服了大型语言模型 (LLM) 传统方法中的信息丢失. 这种方法可以提高LLM在复杂的3D任务中的能力.

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