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CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training., , , , , , и . NAACL-HLT (Findings), стр. 2402-2420. Association for Computational Linguistics, (2022)Hierarchical Video-Moment Retrieval and Step-Captioning., , , , , , и . CVPR, стр. 23056-23065. IEEE, (2023)Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , и . EMNLP (Findings), стр. 250-262. Association for Computational Linguistics, (2022)Binary and Ternary Natural Language Generation., , , , и . ACL (1), стр. 65-77. Association for Computational Linguistics, (2023)Joint Verification and Reranking for Open Fact Checking Over Tables., , , , , и . ACL/IJCNLP (1), стр. 6787-6799. Association for Computational Linguistics, (2021)Multi-Task Retrieval for Knowledge-Intensive Tasks., , , , , , и . ACL/IJCNLP (1), стр. 1098-1111. Association for Computational Linguistics, (2021)How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval., , , , , , , и . EMNLP (Findings), стр. 6385-6400. Association for Computational Linguistics, (2023)Stable, distributed P2P protocols based on random peer sampling., , и . Allerton Conference, стр. 915-919. IEEE, (2012)Dense Passage Retrieval for Open-Domain Question Answering, , , , , , , и . (2020)cite arxiv:2004.04906Comment: EMNLP 2020.Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2021)