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