Derivation Prompting: A Logic-Based Method for Improving Retrieval-Augmented Generation

This paper introduces Derivation Prompting, a novel prompting technique for the Retrieval-Augmented Generation (RAG) framework. The method aims to reduce hallucinations and erroneous reasoning in Large Language Models (LLMs) by systematically applying predefined rules to derive conclusions. A case study demonstrated a significant reduction in unacceptable answers compared to traditional RAG methods.