A dual-loop edge-terminal multi-agent framework, combining task decomposition with parallel tool calling and offloading, is shown in a simulated 6G urban safety case study to outperform ReAct and LLMCompiler.
Zhaoet al., ”LaMoSC: Large Language Model-Driven Semantic Communication System for Visual Transmis- sion,”IEEE Transactions on Cognitive Communications and Networking, vol
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.MA 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration
A dual-loop edge-terminal multi-agent framework, combining task decomposition with parallel tool calling and offloading, is shown in a simulated 6G urban safety case study to outperform ReAct and LLMCompiler.