C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Mintong Kang, Nezihe Merve Gürel, Ning Yu +2

Despite the impressive capabilities of large language models (LLMs) across diverse applications, they still suffer from trustworthiness issues, such as hallucinations and misalignm…