A ReAct and few-shot prompted LLM agent retrieves well-formatted HEMS parameters from natural-language user replies with 88% accuracy in LLM-simulated tests.
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Large Language Model Interface for Home Energy Management Systems
A ReAct and few-shot prompted LLM agent retrieves well-formatted HEMS parameters from natural-language user replies with 88% accuracy in LLM-simulated tests.