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Vector quantization (VQ) based ANN indexes, such as Inverted File System (IVF) and Product Quantization (PQ), have been widely applied to embedding based document retrieval thanks to the competitive time and memory efficiency.
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Optimized product quantization
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Natural questions: a benchmark for question answering research
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Diskann: Fast accurate billion-point nearest neighbor search on a single node. In Proceedings of the 33rd International Conference on Neural Information Processing Systems . 13766–13776
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Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
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AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
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Embedding-based Product Retrieval in Taobao Search
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Pre-training tasks for embedding-based large-scale retrieval
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Big self-supervised models are strong semi-supervised learners
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Accelerating large-scale inference with anisotropic vector quantization. In International Conference on Machine Learning . PMLR, 3887–3896
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Improving efficient neural ranking models with cross-architecture knowledge distillation
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Dense Passage Retrieval for Open-Domain Question Answering. In EMNLP . 6769–6781
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Lightrec: A memory and search-efficient recommender system. In Proceedings of The Web Conference 2020 . 695–705
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Pre-trained Language Model for Web-scale Retrieval in Baidu Search. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 3365–3375
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RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
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Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. In International Conference on Learning Representations
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Jointly optimizing query encoder and product quantization to improve retrieval performance. In CIKM . 2487–2496
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Adversarial Retriever-Ranker for dense text retrieval
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Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, and Wen-Yun Yang. 2021b · 2021
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Scalable Multi-grained Cross-modal Similarity Query with Interpretability
Mingdong Zhu, Derong Shen, Lixin Xu, and Xianfang Wang. 2021 · 2021
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Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. In WWW
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, et al · 2022
Closest in time.
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. In WSDM . 1328–1336
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2022 · 2022
Closest in time.