Paul F. Christiano

43 papers A* 8A 1B 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Backdoor Defense, Learnability and Obfuscation. ITCS Paul F. Christiano, Jacob Hilton, Victor Lecomte, Mark Xu
2024	J	`jnl`	Backdoor defense, learnability and obfuscation. CoRR Paul F. Christiano, Jacob Hilton, Victor Lecomte, Mark Xu
2024	J	`jnl`	International Scientific Report on the Safety of Advanced AI (Interim Report). CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Danielle Goldfarb, Hoda Heidari, Leila Khalatbari, Shayne Longpre, Vasilios Mavroudis, Mantas Mazeika, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Theodora Skeadas, Florian Tramèr, Bayo Adekanmbi, Paul F. Christiano, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Nick R. Jennings, Andreas Krause, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Arvind Narayanan, Alondra Nelson, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang
2024	J	`jnl`	Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger B. Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez
2024	J	`jnl`	Towards a Law of Iterated Expectations for Heuristic Estimators. CoRR Paul F. Christiano, Jacob Hilton, Andrea Lincoln, Eric Neyman, Mark Xu
2023	J	`jnl`	Evaluating Language-Model Agents on Realistic Autonomous Tasks. CoRR Megan Kinniment, Lucas Jun Koba Sato, Haoxing Du, Brian Goodrich, Max Hasin, Lawrence Chan, Luke Harold Miles, Tao Roa Lin, Hjalmar Wijk, Joel Burget, Aaron Ho, Elizabeth Barnes, Paul F. Christiano
2023	J	`jnl`	Model evaluation for extreme risks. CoRR Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul F. Christiano, Allan Dafoe
2022	J	`jnl`	Formalizing the presumption of independence. CoRR Paul F. Christiano, Eric Neyman, Mark Xu
2022	A*	`conf`	Training language models to follow instructions with human feedback. NeurIPS Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe
2022	J	`jnl`	Training language models to follow instructions with human feedback. CoRR Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, Ryan Lowe
2021	J	`jnl`	A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device. J. ACM Zvika Brakerski, Paul F. Christiano, Urmila Mahadev, Umesh V. Vazirani, Thomas Vidick
2021	J	`jnl`	Recursively Summarizing Books with Human Feedback. CoRR Jeff Wu, Long Ouyang, Daniel M. Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, Paul F. Christiano
2020	J	`jnl`	Learning to summarize from human feedback. CoRR Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano
2020	A*	`conf`	Learning to summarize with human feedback. NeurIPS Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano
2019	J	`jnl`	Fine-Tuning Language Models from Human Preferences. CoRR Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul F. Christiano, Geoffrey Irving
2018	A*	`conf`	A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device. FOCS Zvika Brakerski, Paul F. Christiano, Urmila Mahadev, Umesh V. Vazirani, Thomas Vidick
2018	J	`jnl`	AI safety via debate. CoRR Geoffrey Irving, Paul F. Christiano, Dario Amodei
2018	J	`jnl`	Certifiable Randomness from a Single Quantum Device. CoRR Zvika Brakerski, Paul F. Christiano, Urmila Mahadev, Umesh V. Vazirani, Thomas Vidick
2018	J	`jnl`	Supervising strong learners by amplifying weak experts. CoRR Paul F. Christiano, Buck Shlegeris, Dario Amodei
2018	J	`jnl`	Unrestricted Adversarial Examples. CoRR Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul F. Christiano, Ian J. Goodfellow
2017	—	`conf`	Deep Reinforcement Learning from Human Preferences. NIPS Paul F. Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei
2017	J	`jnl`	Deep reinforcement learning from human preferences. CoRR Paul F. Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei
2016	J	`jnl`	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models. CoRR Chelsea Finn, Paul F. Christiano, Pieter Abbeel, Sergey Levine
2016	J	`jnl`	Concrete Problems in AI Safety. CoRR Dario Amodei, Chris Olah, Jacob Steinhardt, Paul F. Christiano, John Schulman, Dan Mané
2016	A*	`conf`	Provably manipulation-resistant reputation systems. COLT Paul F. Christiano
2016	J	`jnl`	Robust Collaborative Online Learning. CoRR Paul F. Christiano
2016	J	`jnl`	Theano: A Python framework for fast computation of mathematical expressions. CoRR Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
2016	J	`jnl`	Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model. CoRR Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba
2015	J	`jnl`	Reflective Oracles: A Foundation for Classical Game Theory. CoRR Benja Fallenstein, Jessica Taylor, Paul F. Christiano
2015	—	`conf`	Reflective Oracles: A Foundation for Game Theory in Artificial Intelligence. LORI Benja Fallenstein, Jessica Taylor, Paul F. Christiano
2014	J	`jnl`	Online Local Learning via Semidefinite Programming. CoRR Paul F. Christiano
2014	A*	`conf`	Online local learning via semidefinite programming. STOC Paul F. Christiano
2014	A*	`conf`	Open Problem: Online Local Learning. COLT Paul F. Christiano
2014	J	`jnl`	Provably Manipulation-Resistant Reputation Systems. CoRR Paul F. Christiano
2014	J	`jnl`	Robust Cooperation in the Prisoner's Dilemma: Program Equilibrium via Provability Logic. CoRR Mihály Bárász, Paul F. Christiano, Benja Fallenstein, Marcello Herreshoff, Patrick LaVictoire, Eliezer Yudkowsky
2013	J	`jnl`	Quantum Money from Hidden Subspaces. Theory Comput. Scott Aaronson, Paul F. Christiano
2012	J	`jnl`	Quantum Money from Hidden Subspaces CoRR Scott Aaronson, Paul F. Christiano
2012	J	`jnl`	Quantum Money from Hidden Subspaces. Electron. Colloquium Comput. Complex. Scott Aaronson, Paul F. Christiano
2012	J	`jnl`	Quantum Money from Hidden Subspaces. IACR Cryptol. ePrint Arch. Scott Aaronson, Paul F. Christiano
2012	A*	`conf`	Quantum money from hidden subspaces. STOC Scott Aaronson, Paul F. Christiano
2011	A*	`conf`	Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs. STOC Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng
2011	B	`conf`	Lossless Fault-Tolerant Data Structures with Additive Overhead. WADS Paul F. Christiano, Erik D. Demaine, Shaunak Kishore
2010	J	`jnl`	Electrical Flows, Laplacian Systems, and Faster Approximation of Maximum Flow in Undirected Graphs CoRR Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng