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A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)QuALITY: Question Answering with Long Input Texts, Yes!, , , , , , , , , and 1 other author(s). NAACL-HLT, page 5336-5358. Association for Computational Linguistics, (2022)BLiMP: A Benchmark of Linguistic Minimal Pairs for English., , , , , , and . CoRR, (2019)BBQ: A hand-built bias benchmark for question answering., , , , , , , and . ACL (Findings), page 2086-2105. Association for Computational Linguistics, (2022)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). CoRR, (2022)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)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). ACL (1), page 16334-16368. Association for Computational Linguistics, (2023)Introducing v0.5 of the AI Safety Benchmark from MLCommons., , , , , , , , , and 87 other author(s). CoRR, (2024)NOPE: A Corpus of Naturally-Occurring Presuppositions in English., , , , , , , and . CoNLL, page 349-366. Association for Computational Linguistics, (2021)