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Metadata only2024

retrieval-augmented-generation-for-knowledge-intensive-nlp-tasks-2024-014

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.

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe KielaUFTAN UNIVERSITYInformation Systems
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