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The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configured, and managed.
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“Cooperative spectrum sensing: A blind and soft fusion detector,”
Jingwen Tong, Ming Jin, Qinghua Guo, and Youming Li, · 2018
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“The roadmap to 6G: AI empowered wireless networks,”
Khaled B Letaief, Wei Chen, Yuanming Shi, Jun Zhang, and Ying-Jun Angela Zhang, · 2019
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al., · 2019
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“XLNet: Generalized autoregressive pretraining for language understanding,”
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le, · 2019
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“Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities,”
Yang Yang, Yang Li, Wuxiong Zhang, Fei Qin, Pengcheng Zhu, and Cheng-Xiang Wang, · 2019
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“Communication-efficient edge AI: Algorithms and systems,”
Yuanming Shi, Kai Yang, Tao Jiang, Jun Zhang, and Khaled B Letaief, · 2020
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“Communication-computation trade-off in resource-constrained edge inference,”
Jiawei Shao and Jun Zhang, · 2020
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“Toward an intelligent edge: Wireless communication meets machine learning,”
Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, and Kaibin Huang, · 2020
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“Language models are few-shot learners,”
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al., · 2020
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“Scaling laws for neural language models,”
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei, · 2020
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“Masked language model scoring,”
Julian Salazar, Davis Liang, Toan Q Nguyen, and Katrin Kirchhoff, · 2020
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“Bidirectional encoder representations from transformers (BERT) for question answering in the telecom domain.: Adapting a BERT-like language model to the telecom domain using the ELECTRA pre-training approach,”
Henrik Holm, · 2021
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“Optimizing AI service placement and resource allocation in mobile edge intelligence systems,”
Zehong Lin, Suzhi Bi, and Ying-Jun Angela Zhang, · 2021
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“Learning task-oriented communication for edge inference: An information bottleneck approach,”
Jiawei Shao, Yuyi Mao, and Jun Zhang, · 2022
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“Task-oriented communication for multi-device cooperative edge inference,”
Jiawei Shao, Yuyi Mao, and Jun Zhang, · 2022
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“Controllable protein design with language models,”
Noelia Ferruz and Birte Höcker, · 2022
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“Training compute-optimal large language models,”
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, et al., · 2022
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“Chain-of-thought prompting elicits reasoning in large language models,”
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al., · 2022
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“PAL: Program-aided language models,”
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig, · 2023
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“An empirical study of NetOps capability of pre-trained large language models,”
Yukai Miao, Yu Bai, Li Chen, Dan Li, Haifeng Sun, Xizheng Wang, Ziqiu Luo, Dapeng Sun, and Xiuting Xu, · 2023
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“SPEC5G: A dataset for 5G cellular network protocol analysis,”
Imtiaz Karim, Kazi Samin Mubasshir, Mirza Masfiqur Rahman, and Elisa Bertino, · 2023
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“Large language models for telecom: Forthcoming impact on the industry,”
Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, and Merouane Debbah, · 2023
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“Graph neural networks for wireless communications: From theory to practice,”
Yifei Shen, Jun Zhang, SH Song, and Khaled B Letaief, · 2023
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“Task-oriented communication for edge video analytics,”
Jiawei Shao, Xinjie Zhang, and Jun Zhang, · 2023
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“Llama 2: Open foundation and fine-tuned chat models,”
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al., · 2023
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“Chipnemo: Domain-adapted llms for chip design,”
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, et al., · 2023
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“Adapting foundation models for information synthesis of wireless communication specifications,”
Manikanta Kotaru, · 2023
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Sasu Tarkoma, Roberto Morabito, and Jaakko Sauvola, · 2023
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“Parameter-efficient fine-tuning of large-scale pre-trained language models,”
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, et al., · 2023
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Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Yuyi Mao, and Jun Zhang, · 2023
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“Large multi-modal models (LMMs) as universal foundation models for AI-native wireless systems,”
Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, and Naren Ramakrishnan, · 2024
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“OpenAssistant conversations-democratizing large language model alignment,”
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“Generative adversarial network for wireless communication: Principle, application, and trends,”
Cong Zou, Fang Yang, Jian Song, and Zhu Han, · 2024
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“A survey of advances in optimization methods for wireless communication system design,”
Ya-Feng Liu, Tsung-Hui Chang, Mingyi Hong, Zheyu Wu, Anthony Man-Cho So, Eduard A Jorswieck, and Wei Yu, · 2024
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“Towards a wireless physical-layer foundation model: Challenges and strategies,”
Jaron Fontaine, Adnan Shahid, and Eli De Poorter, · 2024
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“Integrating pre-trained language model with physical layer communications,”
Ju-Hyung Lee, Dong-Ho Lee, Joohan Lee, and Jay Pujara, · 2024
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“Unlocking telecom domain knowledge using LLMs,”
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Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, and Ali Maatouk, · 2024
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