Baker, Bowen
- Let's Verify Step by Step
2023/05/31 by Hunter Lightman, Vineet Kosaraju, Lightman, Hunter +17 · 9 voices · 680 citations
Computer Science · #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling #cs.AI #cs.CL #cs.LG
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
2025/07/15 by Tomek Korbak, Mikita Balesni, Korbak, Tomek +79 · 25 voices · 66 citations
#cs.AI #cs.LG #stat.ML
- Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
2022/06/23 by Bowen Baker, Baker, Bowen, Ilge Akkaya +16 · 1 voice · 43 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Reinforcement Learning in Robotics #cs.AI #cs.LG
- Designing Neural Network Architectures using Reinforcement Learning
2016/11/07 by Bowen Baker, Otkrist Gupta, Baker, Bowen +5 · 2 voices · 31 citations
Computer Science · #cs.LG
- OpenAI o1 System Card
2024/12/21 by OpenAI, Aaron Jaech, : +347 · 487 citations
Computer Science · #Advanced Computational Techniques and Applications
- Learning Dexterous In-Hand Manipulation
2018/08/01 by OpenAI, Andrychowicz, Marcin, Baker, Bowen +14 · 52 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and\n Request for Research
2018/02/26 by Matthias Plappert, Plappert, Matthias, Marcin Andrychowicz +22 · 36 citations
Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- gpt-oss-120b & gpt-oss-20b Model Card
2025/08/08 by OpenAI, :, Agarwal, Sandhini +124 · 250 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Emergent Tool Use From Multi-Agent Autocurricula
2019/09/17 by Baker, Bowen, Kanitscheider, Ingmar, Markov, Todor +4 · 27 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
2023/12/14 by Collin Burns, Pavel Izmailov, Burns, Collin +21 · 47 citations
Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
2025/03/14 by Baker, Bowen, Huizinga, Joost, Gao, Leo +6 · 70 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
2021/06/28 by Kanitscheider, Ingmar, Huizinga, Joost, Farhi, David +9 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences
2020/11/10 by Bowen Baker, Baker, Bowen · 1 citation
Decision Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
- Weight-sparse transformers have interpretable circuits
2025/11/17 by Leo Gao, A. Rajaram, Gao, Leo +8 · 6 citations
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Multimodal Machine Learning Applications