| Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint arXiv:2307.15217, 2023 | 456 | 2023 |
| Toward transparent ai: A survey on interpreting the inner structures of deep neural networks T Räuker, A Ho, S Casper, D Hadfield-Menell 2023 ieee conference on secure and trustworthy machine learning (satml), 464-483, 2023 | 190 | 2023 |
| Foundational challenges in assuring alignment and safety of large language models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... arXiv preprint arXiv:2404.09932, 2024 | 116 | 2024 |
| Rethinking machine unlearning for large language models S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, Y Yao, CY Liu, X Xu, ... arXiv preprint arXiv:2402.08787, 2024 | 97 | 2024 |
| Scalable and transferable black-box jailbreaks for language models via persona modulation R Shah, S Pour, A Tagade, S Casper, J Rando arXiv preprint arXiv:2311.03348, 2023 | 88 | 2023 |
| 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 | 84 | 2023 |
| Black-box access is insufficient for rigorous ai audits S Casper, C Ezell, C Siegmann, N Kolt, TL Curtis, B Bucknall, A Haupt, ... The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2254-2272, 2024 | 60 | 2024 |
| Eight methods to evaluate robust unlearning in llms A Lynch, P Guo, A Ewart, S Casper, D Hadfield-Menell arXiv preprint arXiv:2402.16835, 2024 | 39 | 2024 |
| Red teaming deep neural networks with feature synthesis tools S Casper, T Bu, Y Li, J Li, K Zhang, K Hariharan, D Hadfield-Menell Advances in Neural Information Processing Systems 36, 80470-80516, 2023 | 35* | 2023 |
| Clusterability in neural networks D Filan, S Casper, S Hod, C Wild, A Critch, S Russell arXiv preprint arXiv:2103.03386, 2021 | 35 | 2021 |
| Frivolous units: Wider networks are not really that wide S Casper, X Boix, V D'Amario, L Guo, M Schrimpf, K Vinken, G Kreiman Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6921-6929, 2021 | 32* | 2021 |
| Robust feature-level adversaries are interpretability tools S Casper, M Nadeau, D Hadfield-Menell, G Kreiman Advances in Neural Information Processing Systems 35, 33093-33106, 2022 | 31 | 2022 |
| Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? K Liu, S Casper, D Hadfield-Menell, J Andreas arXiv preprint arXiv:2312.03729, 2023 | 28 | 2023 |
| Open problems in technical ai governance A Reuel, B Bucknall, S Casper, T Fist, L Soder, O Aarne, L Hammond, ... arXiv preprint arXiv:2407.14981, 2024 | 22 | 2024 |
| Defending Against Unforeseen Failure Modes with Latent Adversarial Training S Casper, L Schulze, O Patel, D Hadfield-Menell arXiv preprint arXiv:2403.05030, 2024 | 20 | 2024 |
| Latent adversarial training improves robustness to persistent harmful behaviors in llms A Sheshadri, A Ewart, P Guo, A Lynch, C Wu, V Hebbar, H Sleight, ... arXiv preprint arXiv:2407.15549, 2024 | 19* | 2024 |
| Multiplex base editing to convert TAG into TAA codons in the human genome Y Chen, E Hysolli, A Chen, S Casper, S Liu, K Yang, C Liu, G Church Nature communications 13 (1), 4482, 2022 | 19 | 2022 |
| The ai risk repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence P Slattery, AK Saeri, EAC Grundy, J Graham, M Noetel, R Uuk, J Dao, ... arXiv preprint arXiv:2408.12622, 2024 | 18 | 2024 |
| Probing neural dialog models for conversational understanding A Saleh, T Deutsch, S Casper, Y Belinkov, S Shieber arXiv preprint arXiv:2006.08331, 2020 | 15 | 2020 |
| Graphical clusterability and local specialization in deep neural networks S Casper, S Hod, D Filan, C Wild, A Critch, S Russell ICLR 2022 Workshop on PAIR {\textasciicircum} 2Struct: Privacy …, 2022 | 14 | 2022 |
Dylan Hadfield-MenellMassachusetts Institute of Technology確認したメール アドレス: csail.mit.edu