Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis et al., 2020, Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Advances in Neural Information Processing Systems 33 (NeurIPS 2020))
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4.4 Fact Verification
- How did RAG do on FEVER, and what supervision did it lack?Within 4.3% of state-of-the-art pipelines on 3-way classification and within 2.7% of a RoBERTa classifier given gold evidence on 2-way, without any supervision on retrieved evidence; its top document came from a gold article 71% of the time.
- Lewis et al., 2020, Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Advances in Neural Information Processing Systems 33 (NeurIPS 2020)), §4.4
Source
- Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel and Douwe Kiela. 2020. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems 33 (NeurIPS 2020). https://papers.nips.cc/paper/2020/hash/6b493230205f780e1bc26945df7481e5-Abstract.html