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Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model., , and . ICDM, page 359-368. IEEE, (2019)Playing Lottery Tickets with Vision and Language., , , , , , , , and . AAAI, page 652-660. AAAI Press, (2022)AdaPrompt: Adaptive Model Training for Prompt-based NLP., , , , , , and . EMNLP (Findings), page 6057-6068. Association for Computational Linguistics, (2022)Unsupervised Deep Structured Semantic Models for Commonsense Reasoning., , , , , , and . NAACL-HLT (1), page 882-891. Association for Computational Linguistics, (2019)NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset., , , , , , and . EMNLP (Findings), page 4147-4161. Association for Computational Linguistics, (2021)LMGQS: A Large-scale Dataset for Query-focused Summarization., , , , , , , , and . EMNLP (Findings), page 14764-14776. Association for Computational Linguistics, (2023)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , and . ICLR, OpenReview.net, (2023)Learning Natural Language Inference with LSTM., and . HLT-NAACL, page 1442-1451. The Association for Computational Linguistics, (2016)Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching., , , , and . AAAI, page 9209-9216. AAAI Press, (2020)A Compare-Aggregate Model for Matching Text Sequences., and . ICLR (Poster), OpenReview.net, (2017)