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Dense retrieval is a basic building block of information retrieval applications.
Repbert: Contextualized text embeddings for first-stage retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma. 2020 · 2006
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
Dual supervised learning
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, and Tie-Yan Liu. 2017 · 2017
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
CharacterBERT: Reconciling ELMo and BERT for word-level open-vocabulary representations from characters
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, Hiroshi Noji, Pierre Zweigenbaum, and Jun’ichi Tsujii. 2020 · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Colbert: Efficient and effective passage search via contextualized late interaction over bert
Omar Khattab and Matei Zaharia. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
Cited alongside, same era.
More robust dense retrieval with contrastive dual learning
Yizhi Li, Zhenghao Liu, Chenyan Xiong, and Zhiyuan Liu. 2021 · 2021
Cited alongside, same era.
RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, and Haifeng Wang. 2021 · 2021
Cited alongside, same era.
PAIR: Leveraging passage-centric similarity relation for improving dense passage retrieval
Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, QiaoQiao She, Hua Wu, Haifeng Wang, and Ji-Rong Wen. 2021a · 2021
Cited alongside, same era.
RocketQAv2: A joint training method for dense passage retrieval and passage re-ranking
Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, QiaoQiao She, Hua Wu, Haifeng Wang, and Ji-Rong Wen. 2021b · 2021
Dealing with typos for BERT-based passage retrieval and ranking
Shengyao Zhuang and Guido Zuccon. 2021 · 2021
Later among the works it cites.
ranx: A blazing-fast python library for ranking evaluation and comparison
Elias Bassani. 2022 · 2022
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Tevatron: An efficient and flexible toolkit for dense retrieval
Luyu Gao, Xueguang Ma, Jimmy J. Lin, and Jamie Callan. 2022 · 2022
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Evaluating the robustness of retrieval pipelines with query variation generators
Gustavo Penha, Arthur Câmara, and Claudia Hauff. 2022 · 2022
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Analysing the robustness of dual encoders for dense retrieval against misspellings
Georgios Sidiropoulos and Evangelos Kanoulas. 2022 · 2022
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Cited alongside, same era.
Approximate nearest neighbor negative contrastive learning for dense text retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2021 · 2021
Cited alongside, same era.
Characterbert and self-teaching for improving the robustness of dense retrievers on queries with typos
Shengyao Zhuang and Guido Zuccon. 2022 · 2022
Later among the works it cites.