Fig. 1: Overview of the proposed method (SELLM) and its evaluation. | Communications Materials

Fig. 1: Overview of the proposed method (SELLM) and its evaluation.

From: Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices

Fig. 1

The framework of SELLM takes as input a problem statement and a structured list of knowledge elements with explanations. Role-playing prompting is used to generate domain-specific experts for each element, which then provide candidate solutions to the problem. The generated solutions are subsequently assessed using similarity-based evaluation (SBE), keyword-based evaluation (KBE), and human-based evaluation (HBE).

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