Y Chen, R Li, Z Zhao, C Peng, J Wu, E Hossain… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have triggered tremendous success to empower daily life by generative information, and the personalization of LLMs could further contribute to their …
G Wang, J Liu, C Li, Y Zhang, J Ma… - Proceedings of the …, 2024 - openaccess.thecvf.com
The burgeoning field of Multimodal Large Language Models (MLLMs) has exhibited remarkable performance in diverse tasks such as captioning commonsense reasoning and …
In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents" AI …
This paper unveils the groundbreaking impact of Generative AI (GenAI) as the dawn of a transformative era in 5G/6G networks and beyond. Exploring its disruptive potential across …
Recent research in federated large language models (LLMs) has primarily focused on enabling clients to fine-tune their locally deployed homogeneous LLMs collaboratively or on …
Intent-Based Networking (IBN) management has emerged as an alternative approach to simplify network configuration and management by abstracting the complexities of low-level …
P Szilágyi - Journal of ICT Standardization, 2021 - ieeexplore.ieee.org
Intent based network management reduces the complexity of network programming from a growing set of deeply technical APIs to context-free high-level objectives that the network …
Network management complexities stem from the multitude of resources, services, and applications that are to be built on top of heterogeneous and distributed infrastructure. To …