Heewoo Jun

Researcher, OpenAI

Joined

October 2021

Names

Heewoo Jun (Preferred)

Emails

****@pm.me (Confirmed)

****@openai.com (Confirmed)

Personal Links

DBLP

Semantic Scholar

Career & Education History

Researcher

OpenAI (openai.com)

2019 – Present

Researcher

Baidu (baidu.com)

2015 – 2019

MS student

Stanford University (stanford.edu)

2013 – 2015

Undergrad student

University of Toronto (toronto.edu)

2008 – 2013

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun, Alex Nichol
- Published: 01 Jan 2023, Last Modified: 31 May 2023
- CoRR 2023
- Readers: Everyone
Efficient Training of Language Models to Fill in the Middle
Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, John Schulman, Christine McLeavey, Jerry Tworek, Mark Chen
- 2022 (modified: 23 Apr 2023)
- CoRR 2022
- Readers: Everyone
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
- 2022 (modified: 23 Apr 2023)
- CoRR 2022
- Readers: Everyone
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder et al. (38 additional authors not shown)
- 2021 (modified: 14 Nov 2021)
- CoRR 2021
- Readers: Everyone
Training Verifiers to Solve Math Word Problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, John Schulman
- Published: 01 Jan 2021, Last Modified: 11 Jun 2023
- CoRR 2021
- Readers: Everyone
Generative Pretraining From Pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, Ilya Sutskever
- 2020 (modified: 03 Nov 2022)
- ICML 2020
- Readers: Everyone
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
- 2020 (modified: 14 Nov 2021)
- CoRR 2020
- Readers: Everyone
Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever
- 2020 (modified: 14 Nov 2021)
- CoRR 2020
- Readers: Everyone
Distribution Augmentation for Generative Modeling
Heewoo Jun, Rewon Child, Mark Chen, John Schulman, Aditya Ramesh, Alec Radford, Ilya Sutskever
- 2020 (modified: 14 Nov 2021)
- ICML 2020
- Readers: Everyone
Language Modeling at Scale
Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Greg Diamos, Kenneth Church
- 2019 (modified: 03 Nov 2022)
- IPDPS 2019
- Readers: Everyone

View all 15 publications

Co-Authors

View all 104 co-authors