RAG (retrieval-augmented generation)

GPTKB entity

Predicate	Object
gptkbp:instanceOf	machine learning technique natural language processing method
gptkbp:application	open-domain question answering knowledge-intensive tasks
gptkbp:architecture	retriever-generator pipeline
gptkbp:arXivID	2005.11401
gptkbp:author	gptkb:Mike_Lewis gptkb:Sebastian_Riedel gptkb:Patrick_Lewis gptkb:Douwe_Kiela gptkb:Fabio_Petroni gptkb:Tim_Rocktäschel gptkb:Aleksandra_Piktus gptkb:Ethan_Perez gptkb:Heinrich_Küttler gptkb:Naman_Goyal gptkb:Vladimir_Karpukhin gptkb:Wen-tau_Yih
gptkbp:citation	gptkb:NeurIPS_2020 gptkb:Retrieval-Augmented_Generation_for_Knowledge-Intensive_NLP_Tasks 2020
gptkbp:combines	generator retrieval
gptkbp:developedBy	gptkb:Facebook_AI_Research
gptkbp:generatorModelExample	gptkb:BART gptkb:T5
gptkbp:hasConcept	retrieves relevant documents and generates answers conditioned on them
https://www.w3.org/2000/01/rdf-schema#label	RAG (retrieval-augmented generation)
gptkbp:improves	factual accuracy of language models
gptkbp:input	query
gptkbp:introducedIn	2020
gptkbp:openSource	gptkb:Hugging_Face_Transformers
gptkbp:output	generated answer
gptkbp:reduces	hallucination in language models
gptkbp:relatedTo	generative models hybrid models retrieval-based models
gptkbp:retrievalSource	document corpus external knowledge base
gptkbp:retrieverModelExample	gptkb:DPR_(Dense_Passage_Retriever)
gptkbp:uses	generator model retriever model
gptkbp:bfsParent	gptkb:Llama_3
gptkbp:bfsLayer	6