Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

A higher tendency to produce erroneous answers based on their parametric knowledge More susceptible to hallucinations stemming from their parametric knowledge Primary Sources of LLM Erroneous Generation Sources of errors for answerable questions: 1. Parametric knowledge-based hallucination Information extraction failures