Multi-Expert Prompting: Enhancing Large Language Model Generation Through Simulated Expert Collaboration and Response Aggregation

Multi-expert prompting significantly improves the reliability, safety, and usefulness of large language models by simulating multiple expert perspectives, aggregating their responses, and selecting the best answer through a novel, seven-subtask method inspired by the Nominal Group Technique.