Bowen Baker

According to our database, Bowen Baker authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Reasoning Models Struggle to Control their Chains of Thought.

Chen Yueh-Han, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak

CoRR, March, 2026

2025

Monitoring Monitorability.

Melody Y. Guan, Miles Wang, Micah Carroll, Zehao Dou, Annie Y. Wei, Marcus Williams, Benjamin Arnav, Joost Huizinga, Ian Kivlichan, Mia Glaese, Jakub Pachocki, Bowen Baker

CoRR, December, 2025

Weight-sparse transformers have interpretable circuits.

Leo Gao, Achyuta Rajaram, Jacob Coxon, Soham V. Govande, Bowen Baker, Dan Mossing

CoRR, November, 2025

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, Mark Chen, Alan Cooney, Allan Dafoe, Anca D. Dragan, Scott Emmons, Owain Evans, David Farhi, Ryan Greenblatt, Dan Hendrycks, Marius Hobbhahn, Evan Hubinger, Geoffrey Irving, Erik Jenner, Daniel Kokotajlo, Victoria Krakovna, Shane Legg, David Lindner, David Luan, Aleksander Madry, Julian Michael, Neel Nanda, Dave Orr, Jakub Pachocki, Ethan Perez, Mary Phuong, Fabien Roger, Joshua Saxe, Buck Shlegeris, Martín Soto, Eric Steinberger, Jasmine Wang, Wojciech Zaremba, Bowen Baker, Rohin Shah, Vladimir Mikulik

CoRR, July, 2025

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.

Bowen Baker, Joost Huizinga, Leo Gao, Zehao Dou, Melody Y. Guan, Aleksander Madry, Wojciech Zaremba, Jakub Pachocki, David Farhi

CoRR, March, 2025

2024

Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Let's Verify Step by Step.

Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.

Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft.

Ingmar Kanitscheider, Joost Huizinga, David Farhi, William Hebgen Guss, Brandon Houghton, Raul Sampedro, Peter Zhokhov, Bowen Baker, Adrien Ecoffet, Jie Tang, Oleg Klimov, Jeff Clune

CoRR, 2021

2020

Learning dexterous in-hand manipulation.

Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

Int. J. Robotics Res., 2020

Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences.

Bowen Baker

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Emergent Tool Use From Multi-Agent Autocurricula.

Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Skill emergence and transfer in multi-agent environments.

Ingmar Kanitscheider, Bowen Baker, Todor M. Markov, Igor Mordatch

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Learning Dexterous In-Hand Manipulation.

OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

CoRR, 2018

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

CoRR, 2018

Accelerating Neural Architecture Search using Performance Prediction.

Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Practical Neural Network Performance Prediction for Early Stopping.

Bowen Baker, Otkrist Gupta, Ramesh Raskar, Nikhil Naik

CoRR, 2017

Designing Neural Network Architectures using Reinforcement Learning.

Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar

Proceedings of the 5th International Conference on Learning Representations, 2017