LLM-AUG applies LLM in-context learning for embedding-space data augmentation in wireless ML, outperforming baselines and reaching near-oracle accuracy with only 15% labeled data on RadioML and IC datasets.
Preserving data privacy for ml-driven applications in open radio access networks,
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LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
LLM-AUG applies LLM in-context learning for embedding-space data augmentation in wireless ML, outperforming baselines and reaching near-oracle accuracy with only 15% labeled data on RadioML and IC datasets.