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Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model., , и . ICDM, стр. 359-368. IEEE, (2019)AdaPrompt: Adaptive Model Training for Prompt-based NLP., , , , , , и . EMNLP (Findings), стр. 6057-6068. Association for Computational Linguistics, (2022)Playing Lottery Tickets with Vision and Language., , , , , , , , и . AAAI, стр. 652-660. AAAI Press, (2022)Unsupervised Deep Structured Semantic Models for Commonsense Reasoning., , , , , , и . NAACL-HLT (1), стр. 882-891. Association for Computational Linguistics, (2019)NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset., , , , , , и . EMNLP (Findings), стр. 4147-4161. Association for Computational Linguistics, (2021)LMGQS: A Large-scale Dataset for Query-focused Summarization., , , , , , , , и . EMNLP (Findings), стр. 14764-14776. Association for Computational Linguistics, (2023)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , и . ICLR, OpenReview.net, (2023)CLIP-Event: Connecting Text and Images with Event Structures., , , , , , , , и . CVPR, стр. 16399-16408. IEEE, (2022)ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation., , , , и . EMNLP, стр. 7111-7122. Association for Computational Linguistics, (2022)LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval., , , , , и . NAACL-HLT, стр. 982-997. Association for Computational Linguistics, (2021)