Semantics-empowered communications: A tutorial-cum-survey
Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
Large language models empowered autonomous edge AI for connected intelligence
The evolution of wireless networks gravitates towards connected intelligence, a concept that
envisions seamless interconnectivity among humans, objects, and intelligence in a hyper …
envisions seamless interconnectivity among humans, objects, and intelligence in a hyper …
User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
Large language models for networking: Applications, enabling techniques, and challenges
The rapid evolution of network technologies and the growing complexity of network tasks
necessitate a paradigm shift in how networks are designed, configured, and managed. With …
necessitate a paradigm shift in how networks are designed, configured, and managed. With …
AI-native interconnect framework for integration of large language model technologies in 6G systems
The evolution towards 6G architecture promises a transformative shift in communication
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Mobile edge intelligence for large language models: A contemporary survey
On-device large language models (LLMs), referring to running LLMs on edge devices, have
raised considerable interest owing to their superior privacy, reduced latency, and bandwidth …
raised considerable interest owing to their superior privacy, reduced latency, and bandwidth …
Personalized large language models
Large language models (LLMs) have significantly advanced Natural Language Processing
(NLP) tasks in recent years. However, their universal nature poses limitations in scenarios …
(NLP) tasks in recent years. However, their universal nature poses limitations in scenarios …
Using large language models to understand telecom standards
A Karapantelakis, M Thakur, A Nikou… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The Third Generation Partnership Project (3GPP) has successfully introduced standards for
global mobility. However, the volume and complexity of these standards has increased over …
global mobility. However, the volume and complexity of these standards has increased over …
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
With the rapid scaling of large language models (LLMs), serving numerous LoRAs
concurrently has become increasingly impractical, leading to unaffordable costs and …
concurrently has become increasingly impractical, leading to unaffordable costs and …