2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
NeurIPS 2020poster
Large pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. However, their ability to access and precisely manipulate knowledge is still limited, and hence on knowledge-intensive tasks…