John Schulman

Researcher, OpenAI

Joined

November 2016

Names

John Schulman (Preferred)

Emails

****@openai.com (Confirmed)

Personal Links

Career & Education History

Researcher

OpenAI (openai.com)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Auditing Agents for Adversarial Fine-tuning Detection
Sarah Egler, John Schulman, Nicholas Carlini
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani, Henry Sleight, Julian Michael, Michael R DeWeese, John Schulman, Ethan Perez, Fabien Roger, Jan Leike
- NeurIPS 2025 poster
- Readers: Everyone
Rule Based Rewards for Fine-Grained LLM Safety
Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian D Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
- NextGenAISafety 2024 Poster
- Readers: Everyone
Rule Based Rewards for Language Model Safety
Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian D Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
- NeurIPS 2024 poster
- Readers: Everyone
Data Refinement: Mitigating Reward Over-Optimization in Reinforcement Learning with Human Feedback
Banghua Zhu, John Schulman, Jiantao Jiao
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
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
- ICLR 2024 poster
- Readers: Everyone
Scaling Laws for Reward Model Overoptimization
Leo Gao, John Schulman, Jacob Hilton
- ICML 2023 Poster
- Readers: Everyone
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Gray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, Ryan Lowe
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Batch size-invariance for policy optimization
Jacob Hilton, Karl Cobbe, John Schulman
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Distribution Augmentation for Generative Modeling
Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever
- 14 Nov 2021
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 18 publications

Co-Authors

View all 70 co-authors