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2020 – today
- 2024
[i6]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)- 2023
- [i5]Evan Hubinger, Adam S. Jermyn, Johannes Treutlein, Rubi Hudson, Kate Woolverton:
Conditioning Predictive Models: Risks and Strategies. CoRR abs/2302.00805 (2023) - 2022
- [i4]Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris:
Polysemanticity and Capacity in Neural Networks. CoRR abs/2210.01892 (2022) - [i3]Adam S. Jermyn, Nicholas Schiefer, Evan Hubinger:
Engineering Monosemanticity in Toy Models. CoRR abs/2211.09169 (2022) - 2020
- [j2]Frank Schindler
, Adam S. Jermyn:
Algorithms for tensor network contraction ordering. Mach. Learn. Sci. Technol. 1(3): 35001 (2020) - [i2]Frank Schindler, Adam S. Jermyn:
Algorithms for Tensor Network Contraction Ordering. CoRR abs/2001.08063 (2020)
2010 – 2019
- 2019
- [j1]Adam S. Jermyn:
Efficient tree decomposition of high-rank tensors. J. Comput. Phys. 377: 142-154 (2019) - 2017
- [i1]Adam S. Jermyn:
Efficient Decomposition of High-Rank Tensors. CoRR abs/1708.07471 (2017)
Coauthor Index
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