Heewoo Jun is an author at OpenAI (United States) specializing in engineering, machine learning, and data science.
Top concepts
EngineeringMachine LearningData ScienceComputer ScienceDeep LearningSpeech RecognitionLinguisticsImage AnalysisGenerative ModelsNatural Language Processing
Publications per year
2017–2024
13
13
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun et al. · arXiv (Cornell University) · 2021 · 1.4K citations · Full text
Generative Pretraining From Pixels
Mark Chen, Alec Radford, Rewon Child et al. · International Conference on Machine Learning · 2020 · 566 citations
Deep Learning Scaling is Predictable, Empirically
Joel Hestness, Sharan Narang, Newsha Ardalani et al. · arXiv (Cornell University) · 2017 · 415 citations · Full text
Artificial Intelligence, Power-law Exponents, Large Ai Model +12
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal et al. · arXiv (Cornell University) · 2022 · 157 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
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