‪Nathaniel Li‬ - ‪Google Scholar‬

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Cited by

	All	Since 2019
Citations	142	142
h-index	3	3
i10-index	2	2

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90

45

2022202320241 57 81

Co-authors

Alexander PanUC BerkeleyVerified email at berkeley.edu
Andy ZouPhD Student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Steven BasartPhD, University of ChicagoVerified email at ttic.edu
Mantas MazeikaUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Zifan WangCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Nathaniel Li

Nathaniel Li

Verified email at berkeley.edu - Homepage

Machine Learning


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Representation engineering: A top-down approach to ai transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ... arXiv preprint arXiv:2310.01405, 2023	72	2023
Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark A Pan, JS Chan, A Zou, N Li, S Basart, T Woodside, H Zhang, S Emmons, ... International Conference on Machine Learning, 26837-26867, 2023	63	2023
Harmbench: A standardized evaluation framework for automated red teaming and robust refusal M Mazeika, L Phan, X Yin, A Zou, Z Wang, N Mu, E Sakhaee, N Li, ... arXiv preprint arXiv:2402.04249, 2024	4	2024
The wmdp benchmark: Measuring and reducing malicious use with unlearning N Li, A Pan, A Gopal, S Yue, D Berrios, A Gatti, JD Li, AK Dombrowski, ... arXiv preprint arXiv:2403.03218, 2024	3	2024

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