Will releasing the weights of future large language models grant widespread access to pandemic agents? - Anjali Gopal; Nathan Helm-Burger; Lennart Justen; Emily H. Soice; Tiffany Tzeng; Geetha Jeyapragasan; Simon Grimm; Benjamin Mueller; Kevin M. Esvelt (CoRR, 2023)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Long Phan; Gabriel Mukobi; Nathan Helm-Burger; et al. (CoRR, 2024)

Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models. - Cameron Tice; Philipp Alexander Kreer; Nathan Helm-Burger; Prithviraj Singh Shahani; Fedor Ryzhenkov; Jacob Haimes; Felix Hofstätter; Teun van der Weij (CoRR, 2024)

CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring. - Benjamin Arnav; Pablo Bernabeu-Perez; Nathan Helm-Burger; Tim Kostolansky; Hannes Whittingham; Mary Phuong (CoRR, 2025)