This collection offers papers and resources on time-series forecasting, with a focus on its applications in telecom networks
AI & ML interests
Large Language Models
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NETOP: Advanced AI for Mobile Network Optimization
The Huawei NETOP team is dedicated to leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies to tackle complex challenges in large-scale mobile network optimization. Our team is a bridge between innovative AI technologies and practical applications in the telecom sector. We aim to drive advancements in network efficiency, scalability, and intelligent automation through the seamless integration of human expertise and AI.
Find additonal resources in our Github.
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Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
Paper • 2507.21974 • Published • 4 -
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
Paper • 2506.10674 • Published • 3 -
Hermes: A Large Language Model Framework on the Journey to Autonomous Networks
Paper • 2411.06490 • Published • 7 -
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
Paper • 2310.15051 • Published • 1
This collection offers papers and resources on time-series forecasting, with a focus on its applications in telecom networks
-
Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
Paper • 2507.21974 • Published • 4 -
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
Paper • 2506.10674 • Published • 3 -
Hermes: A Large Language Model Framework on the Journey to Autonomous Networks
Paper • 2411.06490 • Published • 7 -
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
Paper • 2310.15051 • Published • 1
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