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The rapid development of next-generation networking technologies underscores their transformative role in revolutionizing modern communication systems, enabling faster, more reliable, and highly interconnected solutions.
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W. Saad, M. Bennis, and M. Chen, “A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,” IEEE Network , vol. 34, no. 3, pp. 134–142, 2020
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F. Shi, X. Chen, K. Misra, N. Scales, D. Dohan, E. Chi, N. Schärli, and D. Zhou, “Large language models can be easily distracted by irrelevant context,” in Proceedings of the 40th International Conference on Machine Learning , ser. ICML’23. JMLR.org, 2023
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R. Zhang, J. He, X. Luo, D. Niyato, J. Kang, Z. Xiong, Y. Li, and B. Sikdar, “Toward democratized generative ai in next-generation mobile edge networks,” 2024
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E.-D. Jeong, H.-G. Kim, S. Nam, J.-H. Yoo, and J. W.-K. Hong, “S-witch: Switch configuration assistant with llm and prompt engineering,” in NOMS 2024-2024 IEEE Network Operations and Management Symposium , 2024, pp. 1–7
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G. Sun, W. Xie, D. Niyato, H. Du, J. Kang, J. Wu, S. Sun, and P. Zhang, “Generative ai for advanced uav networking,” IEEE Network , pp. 1–1, 2024
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Z. Chen, Q. Sun, N. Li, X. Li, Y. Wang, and C.-L. I, “Enabling mobile ai agent in 6g era: Architecture and key technologies,” IEEE Network , vol. 38, no. 5, pp. 66–75, 2024
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N. F. Liu, K. Lin, J. Hewitt, A. Paranjape, M. Bevilacqua, F. Petroni, and P. Liang, “Lost in the middle: How language models use long contexts,” Transactions of the Association for Computational Linguistics , vol. 12, pp. 157–173, 2024
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R. Zhang, H. Du, Y. Liu, D. Niyato, J. Kang, Z. Xiong, A. Jamalipour, and D. In Kim, “Generative ai agents with large language model for satellite networks via a mixture of experts transmission,” IEEE Journal on Selected Areas in Communications , vol. 42, no. 12, pp. 3581–3596, 2024
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R. Zhang, H. Du, Y. Liu, D. Niyato, J. Kang, S. Sun, X. Shen, and H. V. Poor, “Interactive ai with retrieval-augmented generation for next generation networking,” IEEE Network , vol. 38, no. 6, pp. 414–424, 2024
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