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Unsupervised Dense Information Retrieval with Contrastive Learning., , , , , , и . Trans. Mach. Learn. Res., (2022)A Memory Efficient Baseline for Open Domain Question Answering., , , , , и . CoRR, (2020)Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search., , , , , , , , , и 2 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 177-189. PMLR, (2021)Improving Wikipedia verifiability with AI., , , , , , , , , и 4 other автор(ы). Nat. Mac. Intell., 5 (10): 1142-1148 (октября 2023)Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , и . CoRR, (2022)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , и 43 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 86-111. PMLR, (2020)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , и 43 other автор(ы). CoRR, (2021)Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search., , , , , , , , , и 2 other автор(ы). CoRR, (2022)Atlas: Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , и . J. Mach. Learn. Res., (2023)Atlas: Few-shot Learning with Retrieval Augmented Language Models, , , , , , , , , и . (2022)cite arxiv:2208.03299.