Optimal Transport Based Generative Autoencoders. - Oliver Zhang; Ruei-Sung Lin; Yuchuan Gou (CoRR, 2019)

Out of Distribution Detection for Medical Images. - Oliver Zhang; Jean-Benoit Delbrouck; Daniel L. Rubin (UNSURE/PIPPI@MICCAI, 2021)

Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment. - Oliver Zhang; Cheng Ding; Tânia Pereira 001; Ran Xiao; Kais Gadhoumi; Karl Meisel; Randall J. Lee; Yiran Chen 001; Xiao Hu 002 (IEEE Access, 2021)

Temperature as Uncertainty in Contrastive Learning. - Oliver Zhang; Mike Wu; Jasmine Bayrooti; Noah D. Goodman (CoRR, 2021)

MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. - Steven H. Wang; Antoine Scardigli; Leonard Tang; Wei Chen; Dimitry Levkin; Anya Chen; Spencer Ball; Thomas Woodside; Oliver Zhang; Dan Hendrycks (EMNLP, 2023)

Evaluating the Carbon Impact of Large Language Models at the Inference Stage. - Brad Everman; Trevor Villwock; Dayuan Chen; Noe Soto; Oliver Zhang; Ziliang Zong (IPCCC, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 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)

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)