It only took a little prompting to hijack the biggest AI models ...

Abstract: Retrieval-Augmented Generation (RAG) is an important architecture for generative AI. In particular, the subtle processing of financial reports (which constitutes a key area of regulatory ...

To reduce risk, refine their strategies, and optimize adoption at scale, companies need more testing at the organizational level. by Johannes Berndt, Florian Englmaier, Raffaella Sadun, Jorge Tamayo ...

Abstract: The increasing variety of products has resulted in a rise in production errors, primarily due to more complexity in manufacturing processes. This paper proposes a data-driven inline ...

This repository is the official implementation of DRAG (Debate-Augmented RAG), a novel training-free framework, designed to reduce hallucinations in Retrieval-Augmented Generation (RAG) systems.