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VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding., , , , , , , и . EMNLP (1), стр. 6787-6800. Association for Computational Linguistics, (2021)Pre-training via Paraphrasing., , , , , и . NeurIPS, (2020)CiT: Curation in Training for Effective Vision-Language Data., , , , , , , и . ICCV, стр. 15134-15143. IEEE, (2023)Multi-Task Retrieval for Knowledge-Intensive Tasks., , , , , , и . ACL/IJCNLP (1), стр. 1098-1111. Association for Computational Linguistics, (2021)Flap: Fast Language-Audio Pre-Training., , , , и . ASRU, стр. 1-8. IEEE, (2023)ALERT: Adapt Language Models to Reasoning Tasks., , , , , , , , и . ACL (1), стр. 1055-1081. Association for Computational Linguistics, (2023)Optimizing Query Evaluations Using Reinforcement Learning for Web Search., , , , и . SIGIR, стр. 1193-1196. ACM, (2018)HTLM: Hyper-Text Pre-Training and Prompting of Language Models., , , , , , и . ICLR, OpenReview.net, (2022)VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding., , , , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4227-4239. Association for Computational Linguistics, (2021)Demystifying CLIP Data., , , , , , , , , и . ICLR, OpenReview.net, (2024)