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Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks., , and . CoRR, (2018)Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options., , and . AACL/IJCNLP, page 672-686. Association for Computational Linguistics, (2020)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). CoRR, (2022)The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)Probing What Different NLP Tasks Teach Machines about Function Word Comprehension., , , , , , , , , and 2 other author(s). CoRR, (2019)Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data., , and . Insights, page 82-87. Association for Computational Linguistics, (2020)When Do You Need Billions of Words of Pretraining Data?, , , and . CoRR, (2020)CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models., , , and . EMNLP (1), page 1953-1967. Association for Computational Linguistics, (2020)Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis., and . BlackboxNLP@EMNLP, page 359-361. Association for Computational Linguistics, (2018)Does Putting a Linguist in the Loop Improve NLU Data Collection?, , , , , , , , , and . EMNLP (Findings), page 4886-4901. Association for Computational Linguistics, (2021)