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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)Natural Adversarial Examples., , , , and . CoRR, (2019)Uncovering Latent Human Wellbeing in Language Model Embeddings., , , , and . CoRR, (2024)Identifying and Mitigating the Security Risks of Generative AI., , , , , , , , , and 13 other author(s). CoRR, (2023)Natural Selection Favors AIs over Humans.. CoRR, (2023)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)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)