Efficient Decomposition of High-Rank Tensors. - Adam S. Jermyn (CoRR, 2017)

Efficient tree decomposition of high-rank tensors. - Adam S. Jermyn (J. Comput. Phys., 2019)

Algorithms for tensor network contraction ordering. - Frank Schindler; Adam S. Jermyn (Mach. Learn. Sci. Technol., 2020)

Polysemanticity and Capacity in Neural Networks. - Adam Scherlis; Kshitij Sachan; Adam S. Jermyn; Joe Benton; Buck Shlegeris (CoRR, 2022)

Engineering Monosemanticity in Toy Models. - Adam S. Jermyn; Nicholas Schiefer; Evan Hubinger (CoRR, 2022)

Conditioning Predictive Models: Risks and Strategies. - Evan Hubinger; Adam S. Jermyn; Johannes Treutlein; Rubi Hudson; Kate Woolverton (CoRR, 2023)

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. - 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; et al. (CoRR, 2024)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)