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CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review., , , and . NeurIPS Datasets and Benchmarks, (2021)What Would Jiminy Cricket Do? Towards Agents That Behave Morally., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Measuring Massive Multitask Language Understanding., , , , , , and . ICLR, OpenReview.net, (2021)Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26837-26867. PMLR, (2023)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures., , , , , , and . CVPR, page 16762-16771. IEEE, (2022)Gaussian Error Linear Units (GELUs), and . (2016)Deep Anomaly Detection with Outlier Exposure., , and . International Conference on Learning Representations, OpenReview.net, (2019)Deep Anomaly Detection with Outlier Exposure, , and . (2018)cite arxiv:1812.04606Comment: ICLR 2019; PyTorch code available at https://github.com/hendrycks/outlier-exposure.Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units, and . CoRR, (2016)