Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? - Richard Ren; Steven Basart; Adam Khoja; Alice Gatti; Long Phan; Xuwang Yin; Mantas Mazeika; Alexander Pan; Gabriel Mukobi; Ryan H. Kim; Stephen Fitz; Dan Hendrycks (NeurIPS, 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)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs. - Mantas Mazeika; Xuwang Yin; Rishub Tamirisa; Jaehyuk Lim; Bruce W. Lee; Richard Ren; Long Phan; Norman Mu; Adam Khoja; Oliver Zhang; Dan Hendrycks (CoRR, 2025)

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. - Clinton J. Wang; Dean Lee; Cristina Menghini; Johannes Mols; Jack Doughty; Adam Khoja; Jayson Lynch; Sean Hendryx; Summer Yue; Dan Hendrycks (CoRR, 2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. - Richard Ren; Arunim Agarwal; Mantas Mazeika; Cristina Menghini; Robert Vacareanu; Brad Kenstler; Mick Yang; Isabelle Barrass; Alice Gatti; Xuwang Yin; Eduardo Trevino; Matias Geralnik; et al. (CoRR, 2025)

Multi-Agent Inverse Q-Learning from Demonstrations. - Nathaniel Haynam; Adam Khoja; Dhruv Kumar 009; Vivek Myers; Erdem Biyik (CoRR, 2025)