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Language Models (Mostly) Know What They Know, , , , , , , , , and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.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)The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)Learning Visual Reasoning Without Strong Priors., , , , and . CoRR, (2017)Studying Large Language Model Generalization with Influence Functions., , , , , , , , , and 7 other author(s). CoRR, (2023)Towards Evaluating AI Systems for Moral Status Using Self-Reports., and . CoRR, (2023)Improving Code Generation by Training with Natural Language Feedback., , , , , , , and . CoRR, (2023)Pretraining Language Models with Human Preferences., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17506-17533. PMLR, (2023)Red Teaming Language Models with Language Models., , , , , , , , and . EMNLP, page 3419-3448. Association for Computational Linguistics, (2022)