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Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks., , , , , и . AAAI, стр. 7424-7431. AAAI Press, (2020)VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation., , , , , , , и . ACL/IJCNLP (1), стр. 3980-3994. Association for Computational Linguistics, (2021)Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction., , , , и . ACL/IJCNLP (2), стр. 942-947. Association for Computational Linguistics, (2021)Achieving Human Parity on Visual Question Answering., , , , , , , , , и 7 other автор(ы). CoRR, (2021)COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment., , , , , , , , , и . ACM Multimedia, стр. 4480-4491. ACM, (2023)StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding., , , , , , , и . ICLR, OpenReview.net, (2020)Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services., , , и . KDD, стр. 1506-1515. ACM, (2014)Collaborative resource discovery in social tagging systems., , и . CIKM, стр. 1919-1922. ACM, (2009)Identifying Best Practices for the Construction of Residential Basements in Fargo, North Dakota, USA Using Building Information Modeling (BIM)., , , и . AHFE (14), том 1214 из Advances in Intelligent Systems and Computing, стр. 161-167. Springer, (2020)StructuralLM: Structural Pre-training for Form Understanding., , , , , , и . ACL/IJCNLP (1), стр. 6309-6318. Association for Computational Linguistics, (2021)