🔗 Who cites «Revealing the Importance of Semantic Retrieval for Machine Reading at Scale»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Revealing the Importance of Semantic Retrieval for Machine Reading at Scale»

1. Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020 · 5,375 citations
2. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
3. Fine-grained Fact Verification with Kernel Graph Attention NetworkZhenghao Liu, Chenyan Xiong, Maosong Sun, et al.2020 · 282 citations
4. Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringAkari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019 · 272 citations
5. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
6. Hierarchical Graph Network for Multi-hop Question AnsweringYuwei Fang, Siqi Sun, Zhe Gan, et al.2020 · 241 citations
7. Coreferential Reasoning Learning for Language RepresentationDeming Ye, Yankai Lin, Jiaju Du, et al.2020 · 225 citations
8. HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 221 citations
9. Unsupervised Question Decomposition for Question AnsweringEthan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 218 citations
10. Robustifying Multi-hop QA through Pseudo-Evidentiality TrainingKyungjae Lee, Seung-won Hwang, Sang-eun Han, et al.2021 · 19 citations

52 more papers of our library cite it; they have no page here yet.

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