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Fine-Tuning Language Models from Human Preferences., , , , , , , and . CoRR, (2019)Electrical Flows, Laplacian Systems, and Faster Approximation of Maximum Flow in Undirected Graphs, , , , and . Proceedings of the Forty-third Annual ACM Symposium on Theory of Computing, page 273--282. New York, NY, USA, ACM, (2011)Learning to summarize from human feedback., , , , , , , , and . CoRR, (2020)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Manipulation-resistant online learning.. University of California, Berkeley, USA, (2017)base-search.net (ftcdlib:qt0w22c86t).Model evaluation for extreme risks., , , , , , , , , and 11 other author(s). CoRR, (2023)Deep Reinforcement Learning from Human Preferences., , , , , and . NIPS, page 4299-4307. (2017)Lossless Fault-Tolerant Data Structures with Additive Overhead., , and . WADS, volume 6844 of Lecture Notes in Computer Science, page 243-254. Springer, (2011)Reflective Oracles: A Foundation for Game Theory in Artificial Intelligence., , and . LORI, volume 9394 of Lecture Notes in Computer Science, page 411-415. Springer, (2015)Provably manipulation-resistant reputation systems.. COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 670-697. JMLR.org, (2016)