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Predictability and Surprise in Large Generative Models.

D. Ganguli, D. Hernandez, L. Lovitt, N. DasSarma, T. Henighan, A. Jones, N. Joseph, J. Kernion, B. Mann, A. Askell, Y. Bai, A. Chen, T. Conerly, D. Drain, N. Elhage, S. Showk, S. Fort, Z. Hatfield-Dodds, S. Johnston, S. Kravec, N. Nanda, K. Ndousse, C. Olsson, D. Amodei, D. Amodei, T. Brown, J. Kaplan, S. McCandlish, C. Olah, and J. Clark. CoRR, (2022)

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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.D. Ganguli, L. Lovitt, J. Kernion, A. Askell, Y. Bai, S. Kadavath, B. Mann, E. Perez, N. Schiefer, K. Ndousse and 26 other author(s). CoRR, (2022)A General Language Assistant as a Laboratory for Alignment.A. Askell, Y. Bai, A. Chen, D. Drain, D. Ganguli, T. Henighan, A. Jones, N. Joseph, B. Mann, N. DasSarma and 12 other author(s). CoRR, (2021)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsA. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Release Strategies and the Social Impacts of Language Models.I. Solaiman, M. Brundage, J. Clark, A. Askell, A. Herbert-Voss, J. Wu, A. Radford, and J. Wang. CoRR, (2019)Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.E. Hubinger, C. Denison, J. Mu, M. Lambert, M. Tong, M. MacDiarmid, T. Lanham, D. Ziegler, T. Maxwell, N. Cheng and 29 other author(s). CoRR, (2024)Predictability and Surprise in Large Generative Models.D. Ganguli, D. Hernandez, L. Lovitt, N. DasSarma, T. Henighan, A. Jones, N. Joseph, J. Kernion, B. Mann, A. Askell and 20 other author(s). CoRR, (2022)Learning Transferable Visual Models From Natural Language Supervision.A. Radford, J. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark 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 KnowS. Kadavath, T. Conerly, A. Askell, T. Henighan, D. Drain, E. Perez, N. Schiefer, Z. Hatfield-Dodds, N. DasSarma, E. Tran-Johnson and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.Y. Bai, A. Jones, K. Ndousse, A. Askell, A. Chen, N. DasSarma, D. Drain, S. Fort, D. Ganguli, T. Henighan and 21 other author(s). CoRR, (2022)The Capacity for Moral Self-Correction in Large Language Models.D. Ganguli, A. Askell, N. Schiefer, T. Liao, K. Lukosiute, A. Chen, A. Goldie, A. Mirhoseini, C. Olsson, D. Hernandez and 39 other author(s). CoRR, (2023)

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Disambiguation of "Askell, Amanda"

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Predictability and Surprise in Large Generative Models.

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Amanda Smith

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Amanda Penner

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Disambiguation

BibSonomy

Disambiguation of "Askell, Amanda"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predictability and Surprise in Large Generative Models.

Please choose a person to relate this publication to

Amanda Smith

Amanda Beyer

Amanda Kühberger

Amanda Schiffrin

Amanda Penner

Other publications of authors with the same name

Disambiguation

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Predictability and Surprise in Large Generative Models.