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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , и 26 other автор(ы). CoRR, (2022)Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks., , , , , , , и . NeurIPS, (2022)Constitutional AI: Harmlessness from AI Feedback., , , , , , , , , и 41 other автор(ы). CoRR, (2022)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , и 53 other автор(ы). CoRR, (2022)Toy Models of Superposition., , , , , , , , , и 6 other автор(ы). CoRR, (2022)Towards Measuring the Representation of Subjective Global Opinions in Language Models., , , , , , , , , и 8 other автор(ы). CoRR, (2023)A Fill Estimation Algorithm for Sparse Matrices and Tensors in Blocked Formats., , и . IPDPS, стр. 546-556. IEEE Computer Society, (2018)Towards Understanding Sycophancy in Language Models., , , , , , , , , и 9 other автор(ы). CoRR, (2023)Specific versus General Principles for Constitutional AI., , , , , , , , , и 26 other автор(ы). CoRR, (2023)FoundationDB Record Layer: A Multi-Tenant Structured Datastore., , , , , , , , , и 3 other автор(ы). SIGMOD Conference, стр. 1787-1802. ACM, (2019)