Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks is now up on ArXiv. State-of-the-art open domain Question Answering, and more factual and specific generation, by combining the power of pre-trained dense retrieval and seq2seq models.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks is now up on ArXiv. State-of-the-art open domain Question Answering, and more factual and specific generation, by combining the power of pre-trained dense retrieval and seq2seq models.