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The dual-encoder has become the de facto architecture for dense retrieval.
Document expansion by query prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019 · 1904
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Context-aware sentence/passage term importance estimation for first stage retrieval
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Huggingface’s transformers: State-of-the-art natural language processing
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Overview of the trec 2019 deep learning track
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Sequence to sequence learning with neural networks
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Ms marco: A human generated machine reading comprehension dataset
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Training deep nets with sublinear memory cost
Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin. 2016 · 2016
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Reading Wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Anserini: Enabling the use of lucene for information retrieval research
Peilin Yang, Hui Fang, and Jimmy Lin. 2017 · 2017
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The fact extraction and VERification (FEVER) shared task
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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From doc2query to doctttttquery
Rodrigo Nogueira and Jimmy Lin. 2019 · 2019
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Overview of the trec 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, and Daniel Campos. 2021 · 2020
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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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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
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RocketQAv2: A joint training method for dense passage retrieval and passage re-ranking
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Few-shot text ranking with meta adapted synthetic weak supervision
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Beir: A heterogeneous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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Approximate nearest neighbor negative contrastive learning for dense text retrieval
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Condenser: a pre-training architecture for dense retrieval
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Efficiently teaching an effective dense retriever with balanced topic aware sampling
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Less is more: Pretrain a strong Siamese encoder for dense text retrieval using a weak decoder
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Zero-shot neural passage retrieval via domain-targeted synthetic question generation
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Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen. 2021 · 2021
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Unsupervised corpus aware language model pre-training for dense passage retrieval
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Metric-guided distillation: Distilling knowledge from the metric to ranker and retriever for generative commonsense reasoning
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Controllable dictionary example generation: Generating example sentences for specific targeted audiences
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Learning diverse document representations with deep query interactions for dense retrieval
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