Jacob Steinhardt

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Citations	24278	22376
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i10-index	88	80

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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
Christopher OlahAnthropicVerified email at google.com
John SchulmanAnthropicVerified email at anthropic.com
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.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 WashingtonVerified email at cs.washington.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Moses CharikarProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jerry LiUniversity of WashingtonVerified email at cs.washington.edu
Daniel KangUIUCVerified email at illinois.edu
Tom B BrownAnthropicVerified email at anthropic.com
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Pravesh K. KothariPrinceton UniversityVerified email at cs.cmu.edu
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyVerified email at berkeley.edu

Jacob Steinhardt

Stanford University

Verified email at cs.stanford.edu - Homepage

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Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016	3152	2016
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	3082	2020
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	1816	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	1614	2021
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	1302	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	1222	2018
Certified defenses against adversarial examples A Raghunathan, J Steinhardt, P Liang arXiv preprint arXiv:1801.09344, 2018	1158	2018
Certified defenses for data poisoning attacks J Steinhardt, PWW Koh, PS Liang Advances in neural information processing systems 30, 2017	954	2017
Jailbroken: How does llm safety training fail? A Wei, N Haghtalab, J Steinhardt Advances in Neural Information Processing Systems 36, 2024	771	2024
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	557	2021
Semidefinite relaxations for certifying robustness to adversarial examples A Raghunathan, J Steinhardt, PS Liang Advances in neural information processing systems 31, 2018	516	2018
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	498	2019
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	485	2020
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	397	2022
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	394	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	349	2019
Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	349	2017
Progress measures for grokking via mechanistic interpretability N Nanda, L Chan, T Lieberum, J Smith, J Steinhardt arXiv preprint arXiv:2301.05217, 2023	346	2023
Unsolved problems in ml safety D Hendrycks, N Carlini, J Schulman, J Steinhardt arXiv preprint arXiv:2109.13916, 2021	346	2021
Sonyc: A system for monitoring, analyzing, and mitigating urban noise pollution JP Bello, C Silva, O Nov, RL Dubois, A Arora, J Salamon, C Mydlarz, ... Communications of the ACM 62 (2), 68-77, 2019	345	2019

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