Differentially Private Retrieval-Augmented Generation

arXiv:2602.14374v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a widely used framework for reducing hallucinations in large language models (LLMs) on domain-specific tasks by retrieving relevant documents from a database to support accurate responses. However, when the data…

View Post on Scour ↗

More from arxiv.org on Scour.