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Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

S. Casper, X. Davies, C. Shi, T. Gilbert, J. Scheurer, J. Rando, R. Freedman, T. Korbak, D. Lindner, P. Freire, T. Wang, S. Marks, C. Ségerie, M. Carroll, A. Peng, P. Christoffersen, M. Damani, S. Slocum, U. Anwar, A. Siththaranjan, M. Nadeau, E. Michaud, J. Pfau, D. Krasheninnikov, X. Chen, L. Langosco, P. Hase, E. Biyik, A. Dragan, D. Krueger, D. Sadigh, and D. Hadfield-Menell. Trans. Mach. Learn. Res., (2023)

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Wilhelm Casper

Rudolf Casper

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Birge Casper

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Robust Feature-Level Adversaries are Interpretability Tools.S. Casper, M. Nadeau, D. Hadfield-Menell, and G. Kreiman. NeurIPS, (2022)Benchmarking Interpretability Tools for Deep Neural Networks.S. Casper, Y. Li, J. Li, T. Bu, K. Zhang, and D. Hadfield-Menell. CoRR, (2023)Open Problems in Technical AI Governance.A. Reuel, B. Bucknall, S. Casper, T. Fist, L. Soder, O. Aarne, L. Hammond, L. Ibrahim, A. Chan, P. Wills and 21 other author(s). CoRR, (2024)Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience.Z. He, J. Achterberg, K. Collins, K. Nejad, D. Akarca, Y. Yang, W. Gurnee, I. Sucholutsky, Y. Tang, R. Ianov and 6 other author(s). CoRR, (2024)The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence.P. Slattery, A. Saeri, E. Grundy, J. Graham, M. Noetel, R. Uuk, J. Dao, S. Pour, S. Casper, and N. Thompson. CoRR, (2024)Frivolous Units: Wider Networks Are Not Really That Wide.S. Casper, X. Boix, V. D'Amario, L. Guo, M. Schrimpf, K. Vinken, and G. Kreiman. AAAI, page 6921-6929. AAAI Press, (2021)White-Box Adversarial Policies in Deep Reinforcement Learning.S. Casper, D. Hadfield-Menell, and G. Kreiman. CoRR, (2022)Targeted 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, A. Stickland, E. Perez, D. Hadfield-Menell and 1 other author(s). CoRR, (2024)Rethinking Machine Unlearning for Large Language Models.S. Liu, Y. Yao, J. Jia, S. Casper, N. Baracaldo, P. Hase, X. Xu, Y. Yao, H. Li, K. Varshney and 3 other author(s). CoRR, (2024)Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.S. Casper, X. Davies, C. Shi, T. Gilbert, J. Scheurer, J. Rando, R. Freedman, T. Korbak, D. Lindner, P. Freire and 22 other author(s). Trans. Mach. Learn. Res., (2023)

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Disambiguation of "Casper, Stephen"

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Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Please choose a person to relate this publication to

Wilhelm Casper

Rudolf Casper

Johannes Casper

Birge Casper

Wolfgang Casper

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Casper, Stephen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Please choose a person to relate this publication to

Wilhelm Casper

Rudolf Casper

Johannes Casper

Birge Casper

Wolfgang Casper

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.