Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

P. T. Boggs and J. W. Tolle, “Sequential quadratic programming,” Acta numerica , vol. 4, pp. 1–51, 1995

1995

Earlier work this paper cites.

T. M. Cover, Elements of information theory . John Wiley & Sons, 1999

1999

Earlier work this paper cites.

S. Eyerman and L. Eeckhout, “Fine-grained dvfs using on-chip regulators,” ACM Transactions on Architecture and Code Optimization (TACO) , vol. 8, no. 1, pp. 1–24, 2011

2011

Earlier work this paper cites.

Y. Jong, “An efficient global optimization algorithm for nonlinear sum-of-ratios problem,” Optimization Online , pp. 1–21, 2012

2012

Earlier work this paper cites.

M. Grant and S. Boyd, “Cvx: Matlab software for disciplined convex programming, version 2.1,” 2014

2014

Earlier work this paper cites.

X. Wang, Z. Ning, and L. Wang, “Offloading in internet of vehicles: A fog-enabled real-time traffic management system,” IEEE Transactions on Industrial Informatics , vol. 14, no. 10, pp. 4568–4578, 2018

2018

Cited alongside, same era.

Z. Ning, K. Zhang, X. Wang, L. Guo, X. Hu, J. Huang, B. Hu, and R. Y. Kwok, “Intelligent edge computing in internet of vehicles: A joint computation offloading and caching solution,” IEEE Transactions on Intelligent Transportation Systems , vol. 22, no. 4, pp. 2212–2225, 2020

2020

Cited alongside, same era.

Z. Zhang, S. Lin, M. Dedeoglu, K. Ding, and J. Zhang, “Data-driven distributionally robust optimization for edge intelligence,” in IEEE INFOCOM 2020-IEEE Conference on Computer Communications . IEEE, 2020, pp. 2619–2628

2020

Cited alongside, same era.

D. Narayanan, M. Shoeybi, J. Casper, P. LeGresley, M. Patwary, V. Korthikanti, D. Vainbrand, P. Kashinkunti, J. Bernauer, B. Catanzaro et al. , “Efficient large-scale language model training on gpu clusters using megatron-lm,” in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , 2021, pp. 1–15

Y. Cui, S. Huang, J. Zhong, Z. Liu, Y. Wang, C. Sun, B. Li, X. Wang, and A. Khajepour, “Drivellm: Charting the path toward full autonomous driving with large language models,” IEEE Transactions on Intelligent Vehicles , 2023

2023

Later among the works it cites.

D. Cai, Y. Wu, S. Wang, F. X. Lin, and M. Xu, “Efficient federated learning for modern nlp,” in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking , 2023, pp. 1–16

2023

Later among the works it cites.

L. Wen, X. Yang, D. Fu, X. Wang, P. Cai, X. Li, M. Tao, Y. Li, X. Linran, D. Shang et al. , “On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent,” in ICLR 2024 Workshop on Large Language Model (LLM) Agents

2024

Closest in time.

C. Cui, Y. Ma, X. Cao, W. Ye, Y. Zhou, K. Liang, J. Chen, J. Lu, Z. Yang, K.-D. Liao et al. , “A survey on multimodal large language models for autonomous driving,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2024, pp. 958–979