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Specific versus General Principles for Constitutional AI., , , , , , , , , and 26 other author(s). CoRR, (2023)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)DeepChrome 2.0: Investigating and Improving Architectures, Visualizations, & Experiments., , and . CoRR, (2022)Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization., , , , , , , , , and 3 other author(s). ICCV, page 8320-8329. IEEE, (2021)Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty., , , and . NeurIPS, page 15637-15648. (2019)Measuring Coding Challenge Competence With APPS., , , , , , , , , and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)Language Models (Mostly) Know What They Know, , , , , , , , , and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.Measuring Mathematical Problem Solving With the MATH Dataset., , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)