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Learning adaptive language interfaces through interaction.. Stanford University, USA, (2017)Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing., , , , , and . ACL (1), page 3149-3170. Association for Computational Linguistics, (2023)UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models., , , , , , , , , and 13 other author(s). EMNLP, page 602-631. Association for Computational Linguistics, (2022)Simple Recurrent Units for Highly Parallelizable Recurrence., , , , and . EMNLP, page 4470-4481. Association for Computational Linguistics, (2018)BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation., , , and . NAACL-HLT (Findings), page 1469-1485. Association for Computational Linguistics, (2022)DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation., , , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 18319-18345. PMLR, (2023)SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark., , , , and . NeurIPS, page 21505-21519. (2021)Natural Language to Code Translation with Execution., , , , and . EMNLP, page 3533-3546. Association for Computational Linguistics, (2022)Learning Language Games through Interaction., , and . ACL (1), The Association for Computer Linguistics, (2016)Data Noising as Smoothing in Neural Network Language Models., , , , , , and . ICLR (Poster), OpenReview.net, (2017)