A hybrid MAC protocol that starts with LLM-generated control messages and switches to a distilled neural model after retraining improves resilience to user-count changes at lower compute than pure LLM inference.
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Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
A hybrid MAC protocol that starts with LLM-generated control messages and switches to a distilled neural model after retraining improves resilience to user-count changes at lower compute than pure LLM inference.