AI RESEARCH
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
arXiv CS.LG
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ArXi:2512.20012v2 Announce Type: replace-cross Large language models (LLMs) are emerging as key enablers of automation in domains such as telecommunications, assisting with tasks including troubleshooting, standards interpretation, and network optimization. However, their deployment in practice must balance inference cost, latency, and reliability. In this work, we study an edge-cloud-expert cascaded LLM-based knowledge system that s decision-making through a question-and-answer pipeline.