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SotA/Natural Language Processing/Information Retrieval/Natural Questions

Information Retrieval on Natural Questions

Metric: Precision@20 (higher is better)

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#Model↕Precision@20▼Extra DataPaperDate↕Code
1ReAtt86NoRetrieval as Attention: End-to-end Learning of R...2022-12-05Code
2DPR+ELECTRA-large-extreader-reranker85.26NoR2-D2: A Modular Baseline for Open-Domain Questi...2021-09-08Code
3DPR-PAQ84.68YesDomain-matched Pre-training Tasks for Dense Retr...2021-07-28Code
4DPR+RoBERTa-base-crossencoder-reranker84.46NoR2-D2: A Modular Baseline for Open-Domain Questi...2021-09-08Code
5RocketQA82.7NoRocketQA: An Optimized Training Approach to Dens...2020-10-16Code
6ANCE81.9NoApproximate Nearest Neighbor Negative Contrastiv...2020-07-01Code
7DPR79.4NoDense Passage Retrieval for Open-Domain Question...2020-04-10Code
8BM25+RM364.2NoGeneration-Augmented Retrieval for Open-domain Q...2020-09-17Code