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Dense Retrieval (DR) reaches state-of-the-art results in first-stage retrieval, but little is known about the mechanisms that contribute to its success.
An Analysis of BERT in Document Ranking. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1941–1944
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Embedding-based Retrieval in Facebook Search. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 2553–2561
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Dense Passage Retrieval for Open-Domain Question Answering. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Sparse, dense, and attentional representations for text retrieval
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Complementing lexical retrieval with semantic residual embedding. In Proceedings of the 42nd European Conference in Information Retrieval
Luyu Gao, Zhuyun Dai, Zhen Fan, and Jamie Callan. 2021 · 2021
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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21) . 113–122
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RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 5835–5847
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In International Conference on Learning Representations
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Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma. 2020b · 2020
Cited alongside, same era.
Unsupervised corpus aware language model pre-training for dense passage retrieval
Luyu Gao and Jamie Callan. 2021 · 2021
Cited alongside, same era.
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM’21)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2021a
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Optimizing Dense Retrieval Model Training with Hard Negatives. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21) . 1503–1512
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2021b
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Closest in time.
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. In Proceedings of The 15th ACM International Conference on Web Search and Data Mining (WSDM’22)
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2022 · 2022
Closest in time.