Rule-Based Explanations for Retrieval-Augmented LLM Systems

Joel Rorseth, Parke Godfrey, Lukasz Golab +2

If-then rules are widely used to explain machine learning models; e.g., "if employed = no, then loan application = rejected." We present the first proposal to apply rules to explai…