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Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering., , , , , , , , , and 1 other author(s). AAAI, page 11312-11320. AAAI Press, (2022)Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge., , , , , , , , , and 3 other author(s). CoRR, (2023)DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases., , , , , , , , , and . ICLR, OpenReview.net, (2023)Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training., , , , , , , and . CoRR, (2020)Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering., , , , , and . ACL/IJCNLP (1), page 4078-4088. Association for Computational Linguistics, (2021)Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning., , , , , , , , , and 2 other author(s). CoRR, (2023)Censored Quantile Regression Forest., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2109-2119. PMLR, (2020)Learning to Selectively Learn for Weakly-supervised Paraphrase Generation., , , , , , and . EMNLP (1), page 5930-5940. Association for Computational Linguistics, (2021)Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding., , , , , , , and . EMNLP (Industry Track), page 306-312. Association for Computational Linguistics, (2022)Importance of Synthesizing High-quality Data for Text-to-SQL Parsing., , , , , , , , , and 7 other author(s). CoRR, (2022)