RadioLLM shows that a GPT-2 backbone with token reprogramming, hybrid prompts, and CNN fusion outperforms task-specific networks on most radio classification and denoising benchmarks.
Gnn-based power allocation and user association in digital twin network for the terahertz band,
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RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
RadioLLM shows that a GPT-2 backbone with token reprogramming, hybrid prompts, and CNN fusion outperforms task-specific networks on most radio classification and denoising benchmarks.