<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/953</identifier><creators><creator><creatorName>Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela</creatorName></creator></creators><titles><title>retrieval-augmented-generation-for-knowledge-intensive-nlp-tasks-2024-014</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2024</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">This record links to the RAG paper, which combines neural retrieval with sequence generation for knowledge-intensive NLP tasks. It provides a strong external PDF test case for repository search, AI assistant context retrieval, and citation workflows.</description></descriptions></resource>