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SotA/Natural Language Processing/Information Retrieval/Natural Questions

Information Retrieval on Natural Questions

Metric: Precision@100 (higher is better)

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#Model↕Precision@100▼Extra DataPaperDate↕Code
1ReAtt90.4NoRetrieval as Attention: End-to-end Learning of R...2022-12-05Code
2DPR-PAQ89.22YesDomain-matched Pre-training Tasks for Dense Retr...2021-07-28Code
3SPAR88.8NoSalient Phrase Aware Dense Retrieval: Can a Dens...2021-10-13Code
4RocketQA88.5NoRocketQA: An Optimized Training Approach to Dens...2020-10-16Code
5DPR+ELECTRA-large-extreader-reranker88.25NoR2-D2: A Modular Baseline for Open-Domain Questi...2021-09-08Code
6DPR+RoBERTa-base-crossencoder-reranker88.03NoR2-D2: A Modular Baseline for Open-Domain Questi...2021-09-08Code
7ANCE87.5NoApproximate Nearest Neighbor Negative Contrastiv...2020-07-01Code
8DPR86NoDense Passage Retrieval for Open-Domain Question...2020-04-10Code
9BM25+RM379.6NoGeneration-Augmented Retrieval for Open-domain Q...2020-09-17Code