2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SP2026
Towards Native Intelligence: 6G-LLM Trained with Reinforcement Learning from NDT Feedback
Zhuoran Xiao, Tao Tao, Chenhui Ye +4
Owing to its comprehensive understanding of upper-layer application requirements and the capabilities of practical communication systems, the 6G-LLM (6G domain large language model…
eess.SP2025
Transmission With Machine Language Tokens: A Paradigm for Task-Oriented Agent Communication
Zhuoran Xiao, Chenhui Ye, Yijia Feng +4
The rapid advancement in large foundation models is propelling the paradigm shifts across various industries. One significant change is that agents, instead of traditional machines…
cs.NI2024★ 2 cited
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation
Zhuoran Xiao, Chenhui Ye, Yunbo Hu +5
The rapid advancement in generative pre-training models is propelling a paradigm shift in technological progression from basic applications such as chatbots towards more sophistica…