| 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 | 733 | 2019 |
| Explore, establish, exploit: Red teaming language models from scratch S Casper, J Lin, J Kwon, G Culp, D Hadfield-Menell arXiv preprint arXiv:2306.09442, 2023 | 139 | 2023 |
| Forecasting future world events with neural networks A Zou, T Xiao, R Jia, J Kwon, M Mazeika, R Li, D Song, J Steinhardt, ... Advances in Neural Information Processing Systems 35, 27293-27305, 2022 | 51 | 2022 |
| Social inferences from physical evidence via bayesian event reconstruction. M Lopez-Brau, J Kwon, J Jara-Ettinger Journal of Experimental Psychology: General 151 (9), 2029, 2022 | 22 | 2022 |
| Large Language Models Are More Persuasive Than Incentivized Human Persuaders P Schoenegger, F Salvi, J Liu, X Nan, R Debnath, B Fasolo, E Leivada, ... arXiv preprint arXiv:2505.09662, 2025 | 17 | 2025 |
| When it is not out of line to get out of line: The role of universalization and outcome-based reasoning in rule-breaking judgments J Kwon, T Zhi-Xuan, J Tenenbaum, S Levine Proceedings of the Annual Meeting of the Cognitive Science Society 45, 2023 | 15 | 2023 |
| Neuro-symbolic models of human moral judgment: LLMs as automatic feature extractors J Kwon, S Levine, JB Tenenbaum | 10 | 2023 |
| Flexibility in Moral Cognition: When is it okay to break the rules? J Kwon, J Tenenbaum, S Levine Proceedings of the annual meeting of the cognitive science society 44 (44), 2022 | 9 | 2022 |
| Comparing bottom-up and top-down steering approaches on in-context learning tasks M Brumley, J Kwon, D Krueger, D Krasheninnikov, U Anwar arXiv preprint arXiv:2411.07213, 2024 | 6 | 2024 |
| Mental state inference from indirect evidence through Bayesian eventreconstruction M Lopez-Brau, J Kwon, J Jara-Ettinger Proceedings of the Annual Meeting of the Cognitive Science Society 42, 2020 | 6 | 2020 |
| Neuro-symbolic models of human moral judgment J Kwon, J Tenenbaum, S Levine Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | 3 | 2024 |
| Improving and assessing anomaly detectors for large-scale settings D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ... | 3 | 2022 |
| When it's not out of line to get out of line: Principles of universalizability, welfare, and harm J Kwon, T Zhi-Xuan, J Tenenbaum, S Levine Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 1 | 2023 |
| Internal Deployment Gaps in AI Regulation J Kwon, S Casper arXiv preprint arXiv:2601.08005, 2026 | | 2026 |
| Detecting the involvement of agents through physical reasoning M Lopez-Brau, J Kwon, B McBean, I Yildirim, J Jara-Ettinger Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | | 2021 |
| Lift-the-flap: what, where and when for context reasoning M Zhang, C Tseng, K Montejo, J Kwon, G Kreiman arXiv preprint arXiv:1902.00163, 2019 | | 2019 |
| Does It Know?: Probing and Benchmarking Uncertainty in Language Model Latent Beliefs BRY Huang, J Kwon | | |
Jacob SteinhardtStanford UniversityVerified email at cs.stanford.edu
