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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)Release Strategies and the Social Impacts of Language Models., , , , , , , and . CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Predictability and Surprise in Large Generative Models., , , , , , , , , and 20 other author(s). CoRR, (2022)Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training., , , , , , , , , and 29 other author(s). CoRR, (2024)Learning Transferable Visual Models From Natural Language Supervision., , , , , , , , , and 2 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 8748-8763. PMLR, (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.Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 42 other author(s). CoRR, (2022)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)