A joint SLM prompt compression and DRL power allocation framework cuts simulated wireless LLM response time by about 17% while keeping reported fidelity near 0.9.
Chain-of-thought prompting elicits reasoning in large language models,
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JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services
A joint SLM prompt compression and DRL power allocation framework cuts simulated wireless LLM response time by about 17% while keeping reported fidelity near 0.9.