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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)A General Language Assistant as a Laboratory for Alignment., , , , , , , , , and 12 other author(s). CoRR, (2021)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 Progress on Scalable Oversight for Large Language Models., , , , , , , , , and 36 other author(s). CoRR, (2022)Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback., , , , , , , , , and 21 other author(s). CoRR, (2022)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 42 other author(s). CoRR, (2022)Language Models (Mostly) Know What They Know., , , , , , , , , and 26 other author(s). CoRR, (2022)The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)Release Strategies and the Social Impacts of Language Models., , , , , , , and . CoRR, (2019)