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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)Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)Constitutional AI: Harmlessness from AI Feedback., , , , , , , , , and 41 other author(s). CoRR, (2022)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). CoRR, (2022)Language Models (Mostly) Know What They Know, , , , , , , , , and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.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). CoRR, (2022)Measuring Progress on Scalable Oversight for Large Language Models., , , , , , , , , and 36 other author(s). CoRR, (2022)