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Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models., , , , , and . CoRR, (2021)Interpreting Predictions of NLP Models., , and . EMNLP (Tutorial Abstracts), page 20-23. Association for Computational Linguistics, (2020)Evaluating NLP Models via Contrast Sets., , , , , , , , , and 16 other author(s). CoRR, (2020)Detoxifying Language Models Risks Marginalizing Minority Voices., , , , , and . NAACL-HLT, page 2390-2397. Association for Computational Linguistics, (2021)InCoder: A Generative Model for Code Infilling and Synthesis., , , , , , , , , and . ICLR, OpenReview.net, (2023)Measuring Forgetting of Memorized Training Examples., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2023)Privacy Side Channels in Machine Learning Systems., , , , , , , and . USENIX Security Symposium, USENIX Association, (2024)Imitation Attacks and Defenses for Black-box Machine Translation Systems., , and . EMNLP (1), page 5531-5546. Association for Computational Linguistics, (2020)Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5848-5856. PMLR, (2019)Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers, , , , , , and . (2020)cite arxiv:2002.11794.