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Diverse Demonstrations Improve In-context Compositional Generalization.

, , and . ACL (1), page 1401-1422. Association for Computational Linguistics, (2023)

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Language Generation with Recurrent Generative Adversarial Networks without Pre-training., , , , and . CoRR, (2017)Grammar-based Neural Text-to-SQL Generation., , , , and . CoRR, (2019)Knowledge and Tree-Edits in Learnable Entailment Proofs., , , , , , and . TAC, NIST, (2011)Value-based Search in Execution Space for Mapping Instructions to Programs., , and . CoRR, (2018)Evaluating the Evaluation of Diversity in Natural Language Generation., and . CoRR, (2020)Semantic Parsing on Freebase from Question-Answer Pairs, , , and . (2014)undefined.Text Segmentation as a Supervised Learning Task., , , , and . NAACL-HLT (2), page 469-473. Association for Computational Linguistics, (2018)Weakly Supervised Text-to-SQL Parsing through Question Decomposition., , and . NAACL-HLT (Findings), page 2528-2542. Association for Computational Linguistics, (2022)Global Learning of Focused Entailment Graphs., , and . ACL, page 1220-1229. The Association for Computer Linguistics, (2010)What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary., , , , , and . ACL (1), page 2481-2498. Association for Computational Linguistics, (2023)