哈尔克:为以人为中心的任务提供通用知识翻译器

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Updated: May 21, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

474

Yizhou Wang, Yixuan Wu, Weizhen He

    IEEE transactions on pattern analysis and machine intelligence
    |March 18, 2025
    PubMed
    概括

    哈尔克是第一个以人为中心的感知多式通用模型,可以处理2D,3D,骨架和视觉语言任务,而无需对特定任务进行调整. 它在11个基准中取得了最先进的结果,整合了各种以人为中心的任务.

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