CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems

Sara Rosenthal, Avirup Sil, Radu Florian +1

Retrieval Augmented Generation (RAG) has become a popular application for large language models. It is preferable that successful RAG systems provide accurate answers that are supp…