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Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants., , , , , and . NAACL-HLT, page 3754-3767. Association for Computational Linguistics, (2022)Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation., , , , , , , , and . WMT@EMNLP, page 89-99. Association for Computational Linguistics, (2021)Grounding, Meaning and Foundation Models: Adventures in Multimodal Machine Learning.. ACM Multimedia, page 5. ACM, (2022)ANLIzing the Adversarial Natural Language Inference Dataset., , and . CoRR, (2020)DynaSent: A Dynamic Benchmark for Sentiment Analysis., , , and . CoRR, (2020)OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents., , , , , , , , , and 2 other author(s). CoRR, (2023)Generative Representational Instruction Tuning., , , , , , , and . CoRR, (2024)Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision., , , , and . CoRR, (2023)Analyzing Dynamic Adversarial Training Data in the Limit., , , and . CoRR, (2021)To what extent do human explanations of model behavior align with actual model behavior?, , , , , and . CoRR, (2020)