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Hybrid retrievers can take advantage of both sparse and dense retrievers.
Wordnet: a lexical database for english
George A Miller. 1995 · 1995
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Zero-shot neural passage retrieval via domain-targeted synthetic question generation
Ji Ma, Ivan Korotkov, Yinfei Yang, Keith Hall, and Ryan McDonald. 2020 · 2004
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Reciprocal rank fusion outperforms condorcet and individual rank learning methods
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The probabilistic relevance framework: Bm25 and beyond
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Product quantization for nearest neighbor search
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Natural questions: a benchmark for question answering research
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Real-time open-domain question answering with dense-sparse phrase index
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, and Hannaneh Hajishirzi. 2019 · 2019
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Colbert: Efficient and effective passage search via contextualized late interaction over bert
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Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp
John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi. 2020 · 2020
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Predicting efficiency/effectiveness trade-offs for dense vs. sparse retrieval strategy selection
Negar Arabzadeh, Xinyi Yan, and Charles LA Clarke. 2021 · 2021
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Salient phrase aware dense retrieval: Can a dense retriever imitate a sparse one?
Xilun Chen, Kushal Lakhotia, Barlas Oğuz, Anchit Gupta, Patrick Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, and Wen-tau Yih. 2021 · 2021
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Learning dense representations of phrases at scale
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Efficient passage retrieval with hashing for open-domain question answering
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Jointly optimizing query encoder and product quantization to improve retrieval performance
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Out-of-domain semantics to the rescue! zero-shot hybrid retrieval models
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Generalized but not robust? comparing the effects of data modification methods on out-of-domain generalization and adversarial robustness
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Simple and effective unsupervised redundancy elimination to compress dense vectors for passage retrieval
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Simple entity-centric questions challenge dense retrievers
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Gpl: Generative pseudo labeling for unsupervised domain adaptation of dense retrieval
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Towards robust dense retrieval via local ranking alignment
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A replication study of dense passage retriever
Xueguang Ma, Kai Sun, Ronak Pradeep, and Jimmy Lin. 2021b
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Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, N. Reimers, Andreas Ruckl’e, Abhishek Srivastava, and Iryna Gurevych. 2021a
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Improving biomedical information retrieval with neural retrievers
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Domain adaptation for memory-efficient dense retrieval
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Can open-domain qa reader utilize external knowledge efficiently like humans?
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