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Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation.

, , , , , , , , and . WMT@EMNLP, page 89-99. Association for Computational Linguistics, (2021)

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Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization., , and . BlackboxNLP@EMNLP, page 265-275. Association for Computational Linguistics, (2020)The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset., , , , , , , , , and 44 other author(s). NeurIPS, (2022)Measuring Data., , , , , , , , , and . CoRR, (2022)Nearest Neighbor Normalization Improves Multimodal Retrieval., , , , , and . CoRR, (2024)Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection., , , and . CoRR, (2020)Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking., , , , , , , , and . NeurIPS, page 10351-10367. (2021)Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection., , , and . ACL/IJCNLP (1), page 1667-1682. Association for Computational Linguistics, (2021)Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks., , , , , , , , , and . ACL (demo), page 174-181. Association for Computational Linguistics, (2022)Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate., , , , and . NAACL-HLT, page 1352-1368. Association for Computational Linguistics, (2022)Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements., , , , , , , , , and . EMNLP (Demos), page 128-136. Association for Computational Linguistics, (2022)