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Updated: May 20, 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

3DBench:用于对象和场景级指令调整3D大型语言模型的可扩展基准

Tianci Hu1, Junjie Zhang2, Yutao Rao1

  • 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute of Advanced Communication and Data Science, Shanghai University, Shanghai, 200400, China.

Neural networks : the official journal of the International Neural Network Society
|May 17, 2025
PubMed
概括

本研究介绍了3DBench,这是使用3D点云数据评估多模式大语言模型 (MLLMs) 的新基准. 它提供了对MLLM空间感知和推理能力的更全面的评估.

关键词:
评估指标评估指标有细粒度的任务.指令调整数据集是指令调整数据集.多模式的大型语言模型云点点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云点云

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