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Logan Graham
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2020 – today
- 2024
- [i3]Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez:
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR abs/2401.05566 (2024) - 2020
- [i2]Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield
, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR abs/2004.07213 (2020)
2010 – 2019
- 2019
- [c3]Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri:
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. AABI 2019: 1-36 - [c2]Paul Duckworth, Logan Graham, Michael A. Osborne:
Inferring Work Task Automatability from AI Expert Evidence. AIES 2019: 485-491 - [i1]Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. CoRR abs/1910.08091 (2019) - 2018
- [c1]Siyuan Lu, Zhihai Lu, Soriya Aok, Logan Graham:
Fruit Classification Based on Six Layer Convolutional Neural Network. DSP 2018: 1-5
Coauthor Index
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last updated on 2024-09-26 01:51 CEST by the dblp team
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