Dota 2 with Large Scale Deep Reinforcement Learning. - Christopher Berner; Greg Brockman; Brooke Chan; Vicki Cheung; Przemyslaw Debiak; Christy Dennison; David Farhi; Quirin Fischer; Shariq Hashme; Christopher Hesse; Rafal Józefowicz; Scott Gray; et al. (CoRR, 2019)

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Ge Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (NeurIPS, 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)

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Greg Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2022)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)

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, 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 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)