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VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation., , , , , и . CoRR, (2023)Effective Long-Context Scaling of Foundation Models., , , , , , , , , и 11 other автор(ы). CoRR, (2023)Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts., , , , , , , , , и 3 other автор(ы). CoRR, (2023)Dense Passage Retrieval for Open-Domain Question Answering, , , , , , , и . (2020)cite arxiv:2004.04906Comment: EMNLP 2020.Stable, distributed P2P protocols based on random peer sampling., , и . Allerton Conference, стр. 915-919. IEEE, (2012)UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering., , , , , , , , и . NAACL-HLT (Findings), стр. 1535-1546. Association for Computational Linguistics, (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)Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2021)A Study on the Efficiency and Generalization of Light Hybrid Retrievers., , , , , , , , и . ACL (2), стр. 1617-1626. Association for Computational Linguistics, (2023)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , и 43 other автор(ы). CoRR, (2021)