Christopher Hesse is an author at OpenAI (United States) specializing in engineering, computer science, and data science.
Top concepts
EngineeringComputer ScienceData ScienceMachine LearningArtificial IntelligenceNatural Language ProcessingDeep LearningRobot LearningMachine TranslationLanguage
Publications per year
2018–2024
8
8
Language Models are Few-Shot Learners
T. B. Brown, Benjamin Mann, Nick Ryder et al. · arXiv (Cornell University) · 2020 · 3K citations · Full text
Artificial Intelligence, Few-shot Learning, Llm Fine-tuning +20
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun et al. · arXiv (Cornell University) · 2021 · 1.4K citations · Full text
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, Jacob Hilton et al. · arXiv (Cornell University) · 2019 · 171 citations · Full text
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz et al. · arXiv (Cornell University) · 2020 · 149 citations · Full text
OpenAI, A. M. Hurst, Adam Lerer et al. · arXiv (Cornell University) · 2024 · 87 citations · Full text
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