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AI agents based on multimodal large language models (LLMs) are expected to revolutionize human-computer interaction and offer more personalized assistant services across various domains like healthcare, education, manufacturing, and entertainment.
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2022
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2023
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2023
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2023
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R. Girdhar, A. El-Nouby, Z. Liu, M. Singh, K. V. Alwala, A. Joulin, and I. Misra, “Imagebind: One embedding space to bind them all,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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A. Asai, S. Min, Z. Zhong, and D. Chen, “Retrieval-based language models and applications,” in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts)
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Y. Shi, Y. Zhou, D. Wen, Y. Wu, C. Jiang, and K. B. Letaief, “Task-oriented communications for 6G: Vision, principles, and technologies,” IEEE Wireless Communications
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2023
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Y. Qin, S. Liang, Y. Ye, K. Zhu, L. Yan, Y. Lu, Y. Lin, X. Cong, X. Tang, B. Qian, et al
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2023
Cited alongside, same era.
Y. Shen, J. Shao, X. Zhang, Z. Lin, H. Pan, D. Li, J. Zhang, and K. B. Letaief, “Large language models empowered autonomous edge ai for connected intelligence,” IEEE Communications Magazine
2024
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