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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

, , , , , , , , , , , , , , , , , , , , , , and . EMNLP, page 602-631. Association for Computational Linguistics, (2022)

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Describing Differences in Image Sets with Natural Language., , , , , , , and . CoRR, (2023)Learning by Distilling Context., , and . CoRR, (2022)The Effect of Model Size on Worst-Group Generalization., , , , , , , , and . CoRR, (2021)Active Programming by Example with a Natural Language Prior., , , and . CoRR, (2022)Semantic Evaluation for Text-to-SQL with Distilled Test Suites., , and . EMNLP (1), page 396-411. Association for Computational Linguistics, (2020)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)Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL., , , and . EMNLP, page 5126-5152. Association for Computational Linguistics, (2023)DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation., , , , , , , , , and . CoRR, (2022)Meta-learning via Language Model In-context Tuning., , , , and . CoRR, (2021)Detecting and Reducing Bias in a High Stakes Domain., , , , and . EMNLP/IJCNLP (1), page 4764-4774. Association for Computational Linguistics, (2019)