RAG1 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks 논문 리뷰 https://arxiv.org/abs/2005.11401 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks 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 lim arxiv.org Aleksandra Piktus , Fabio Petroni.. 2024. 4. 11. 이전 1 다음
