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Wordnet: a lexical database for english
George A Miller. 1995 · 1995
Earlier work this paper cites.
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
J. Battelle. 2005 · 2005
Earlier work this paper cites.
The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
Earlier work this paper cites.
Wikiextractor
Giusepppe Attardi. 2015 · 2015
Earlier work this paper cites.
Learning to match using local and distributed representations of text for web search
Bhaskar Mitra, Fernando Diaz, and Nick Craswell. 2017 · 2017
Earlier work this paper cites.
Ms marco: A human generated machine reading comprehension dataset
Original
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Original
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Document expansion by query prediction
Original
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019 · 2019
Earlier work this paper cites.
Specter: Document-level representation learning using citation-informed transformers
Original
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld. 2020 · 2020
Earlier work this paper cites.
Realm: Retrieval-augmented language model pre-training
Original
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
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Momentum contrast for unsupervised visual representation learning
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Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. 2020 · 2020
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Precise zero-shot dense retrieval without relevance labels
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Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2022 · 2022
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Local citation recommendation with hierarchical-attention text encoder and scibert-based reranking
Nianlong Gu, Yingqiang Gao, and Richard H. R. Hahnloser. 2022 · 2022
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Distilling knowledge from reader to retriever for question answering
Original
Gautier Izacard and Edouard Grave. 2022 · 2022
Later among the works it cites.
Raw-gnn: Random walk aggregation based graph neural network
Original
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, and Weixiong Zhang. 2022 · 2022
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Aggretriever: A simple approach to aggregate textual representation for robust dense passage retrieval

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2023

Referral Augmentation for Zero-Shot Information Retrieval

Tang, Michael, Yao, Shunyu, Yang, John et al.

Understand

We propose Referral-Augmented Retrieval (RAR), a simple technique that concatenates document indices with referrals, i.e.

text from other documents that cite or link to the given document, to provide significant performance gains for zero-shot information retrieval.
The key insight behind our method is that referrals provide a more complete, multi-view representation of a document, much like incoming page links in algorithms like PageRank provide a comprehensive idea of a webpage's importance.
RAR works with both sparse and dense retrievers, and outperforms generative text expansion techniques such as DocT5Query and Query2Doc a 37% and 21% absolute improvement on ACL paper retrieval Recall@10 -- while also eliminating expensive model training and inference.

Built on

Wordnet: a lexical database for english
George A Miller. 1995 · 1995
Earlier work this paper cites.
The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
J. Battelle. 2005 · 2005
Earlier work this paper cites.
The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
Earlier work this paper cites.
Wikiextractor
Giusepppe Attardi. 2015 · 2015
Earlier work this paper cites.
Learning to match using local and distributed representations of text for web search
Bhaskar Mitra, Fernando Diaz, and Nick Craswell. 2017 · 2017
Earlier work this paper cites.
Ms marco: A human generated machine reading comprehension dataset
Original
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Original
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Document expansion by query prediction
Original
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019 · 2019
Earlier work this paper cites.
Specter: Document-level representation learning using citation-informed transformers
Original
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld. 2020 · 2020
Earlier work this paper cites.
Realm: Retrieval-augmented language model pre-training
Original
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
Earlier work this paper cites.

Similar

Momentum contrast for unsupervised visual representation learning
Original
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. 2020 · 2020
Cited alongside, same era.
Dense passage retrieval for open-domain question answering
Original
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020 · 2020
Cited alongside, same era.
Colbert: Efficient and effective passage search via contextualized late interaction over bert
Original
Omar Khattab and Matei Zaharia. 2020 · 2020
Cited alongside, same era.
S2orc: The semantic scholar open research corpus
Original
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Dan S. Weld. 2020 · 2020
Cited alongside, same era.

Then

Precise zero-shot dense retrieval without relevance labels
Original
Luyu Gao, Xueguang Ma, Jimmy Lin, and Jamie Callan. 2022 · 2022
Later among the works it cites.
Local citation recommendation with hierarchical-attention text encoder and scibert-based reranking
Nianlong Gu, Yingqiang Gao, and Richard H. R. Hahnloser. 2022 · 2022
Later among the works it cites.
Distilling knowledge from reader to retriever for question answering
Original
Gautier Izacard and Edouard Grave. 2022 · 2022
Later among the works it cites.
Raw-gnn: Random walk aggregation based graph neural network
Original
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, and Weixiong Zhang. 2022 · 2022
Later among the works it cites.
Aggretriever: A simple approach to aggregate textual representation for robust dense passage retrieval