Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

This is a survey paper that examines how to make RAG (retrieval-augmented generation, where an AI pulls in external documents to answer questions) more trustworthy when used with large language models. The paper reviews current methods and challenges in ensuring that RAG systems provide reliable and accurate information rather than generating false or misleading answers.