Jacob Steinhardt

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	All	Since 2020
Citations	35675	33685
h-index	57	57
i10-index	98	91

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Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Verified email at berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Steven BasartPhD, University of ChicagoVerified email at ttic.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
John SchulmanThinking MachinesVerified email at thinkingmachines.ai
Christopher OlahAnthropicVerified email at google.com
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Paul ChristianoNational Institute of Standards and TechnologyVerified email at nist.gov
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityVerified email at stanford.edu
Pang Wei KohUniversity of Washington; Allen Institute for AIVerified email at cs.washington.edu
Daniel KangUIUCVerified email at illinois.edu
Jerry LiUniversity of WashingtonVerified email at cs.washington.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Tom B BrownAnthropicVerified email at anthropic.com
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon; Cofounder & CTO @ AbridgeVerified email at cmu.edu
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Banghua ZhuAssistant Professor at University of Washington; Principal Research Scientist at NvidiaVerified email at uw.edu
Jiantao JiaoDirector of Research & Distinguished Scientist, NVIDIA; Professor of EECS and Stat, UC BerkeleyVerified email at berkeley.edu
Pravesh K. KothariPrinceton UniversityVerified email at cs.cmu.edu

Jacob Steinhardt

Stanford University

Verified email at cs.stanford.edu - Homepage

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Measuring massive multitask language understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt arXiv preprint arXiv:2009.03300, 2020	5914	2020
Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	3963	2016
Measuring mathematical problem solving with the math dataset D Hendrycks, C Burns, S Kadavath, A Arora, S Basart, E Tang, D Song, ... arXiv preprint arXiv:2103.03874, 2021	3143	2021
The many faces of robustness: A critical analysis of out-of-distribution generalization D Hendrycks, S Basart, N Mu, S Kadavath, F Wang, E Dorundo, R Desai, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021	2398	2021
Natural adversarial examples D Hendrycks, K Zhao, S Basart, J Steinhardt, D Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	2085	2021
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ... arXiv preprint arXiv:1802.07228, 2018	1630	2018
Jailbroken: How does llm safety training fail? A Wei, N Haghtalab, J Steinhardt Advances in Neural Information Processing Systems 36, 80079-80110, 2023	1410	2023
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	1223	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	1073	2017
Measuring coding challenge competence with apps D Hendrycks, S Basart, S Kadavath, M Mazeika, A Arora, E Guo, C Burns, ... arXiv preprint arXiv:2105.09938, 2021	864	2021
Aligning ai with shared human values D Hendrycks, C Burns, S Basart, A Critch, J Li, D Song, J Steinhardt arXiv preprint arXiv:2008.02275, 2020	784	2020
Scaling out-of-distribution detection for real-world settings D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ... arXiv preprint arXiv:1911.11132, 2019	689	2019
Interpretability in the wild: a circuit for indirect object identification in gpt-2 small K Wang, A Variengien, A Conmy, B Shlegeris, J Steinhardt arXiv preprint arXiv:2211.00593, 2022	684	2022
Progress measures for grokking via mechanistic interpretability N Nanda, L Chan, T Lieberum, J Smith, J Steinhardt arXiv preprint arXiv:2301.05217, 2023	584	2023
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	558	2018
Discovering latent knowledge in language models without supervision C Burns, H Ye, D Klein, J Steinhardt arXiv preprint arXiv:2212.03827, 2022	458	2022
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	457	2021
Troubling Trends in Machine Learning Scholarship: Some ML papers suffer from flaws that could mislead the public and stymie future research. ZC Lipton, J Steinhardt Queue 17 (1), 45-77, 2019	444	2019
Sever: A robust meta-algorithm for stochastic optimization I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart International Conference on Machine Learning, 1596-1606, 2019	383	2019
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th annual ACM SIGACT symposium on theory of computing …, 2017	383	2017

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