Mary Phuong

According to our database, Mary Phuong authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring.

Chloe Li, Mary Phuong, Noah Y. Siegel

CoRR, August, 2025

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, Mark Chen, Alan Cooney, Allan Dafoe, Anca D. Dragan, Scott Emmons, Owain Evans, David Farhi, Ryan Greenblatt, Dan Hendrycks, Marius Hobbhahn, Evan Hubinger, Geoffrey Irving, Erik Jenner, Daniel Kokotajlo, Victoria Krakovna, Shane Legg, David Lindner, David Luan, Aleksander Madry, Julian Michael, Neel Nanda, Dave Orr, Jakub Pachocki, Ethan Perez, Mary Phuong, Fabien Roger, Joshua Saxe, Buck Shlegeris, Martín Soto, Eric Steinberger, Jasmine Wang, Wojciech Zaremba, Bowen Baker, Rohin Shah, Vladimir Mikulik

CoRR, July, 2025

CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring.

Benjamin Arnav, Pablo Bernabeu-Perez, Nathan Helm-Burger, Tim Kostolansky, Hannes Whittingham, Mary Phuong

CoRR, May, 2025

Evaluating Frontier Models for Stealth and Situational Awareness.

Mary Phuong, Roland S. Zimmermann, Ziyue Wang, David Lindner, Victoria Krakovna, Sarah Cogan, Allan Dafoe, Lewis Ho, Rohin Shah

CoRR, May, 2025

From Stability to Inconsistency: A Study of Moral Preferences in LLMs.

Monika Jotautaite, Mary Phuong, Chatrik Singh Mangat, Maria Angelica Martinez

CoRR, April, 2025

2024

Evaluating Frontier Models for Dangerous Capabilities.

Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane

CoRR, 2024

2023

Model evaluation for extreme risks.

Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul F. Christiano, Allan Dafoe

CoRR, 2023

2022

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals.

Rohin Shah, Vikrant Varma, Ramana Kumar, Mary Phuong, Victoria Krakovna, Jonathan Uesato, Zac Kenton

CoRR, 2022

Formal Algorithms for Transformers.

Mary Phuong, Marcus Hutter

CoRR, 2022

2021

The inductive bias of ReLU networks on orthogonally separable data.

Mary Phuong, Christoph H. Lampert

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Functional vs. parametric equivalence of ReLU networks.

Mary Phuong, Christoph H. Lampert

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Towards Understanding Knowledge Distillation.

Mary Phuong, Christoph Lampert

Proceedings of the 36th International Conference on Machine Learning, 2019

Distillation-Based Training for Multi-Exit Architectures.

Mary Phuong, Christoph Lampert

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019