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Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs., , , , , , and . CoRR, (2023)Inverse Scaling: When Bigger Isn't Better., , , , , , , , , and 17 other author(s). CoRR, (2023)BLiMP: The Benchmark of Linguistic Minimal Pairs for English., , , , , , and . Trans. Assoc. Comput. Linguistics, (2020)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Does Putting a Linguist in the Loop Improve NLU Data Collection?, , , , , , , , , and . EMNLP (Findings), page 4886-4901. Association for Computational Linguistics, (2021)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). CoRR, (2022)BBQ: A Hand-Built Bias Benchmark for Question Answering., , , , , , , and . CoRR, (2021)Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models., , , , , , , , , and 3 other author(s). CoRR, (2023)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 42 other author(s). CoRR, (2022)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)