Learning Transferable Visual Models From Natural Language Supervision. - Alec Radford; Jong Wook Kim; Chris Hallacy; Aditya Ramesh; Gabriel Goh; Sandhini Agarwal; Girish Sastry; Amanda Askell; Pamela Mishkin; Jack Clark; Gretchen Krueger; Ilya Sutskever (ICML, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. - Alexander Quinn Nichol; Prafulla Dhariwal; Aditya Ramesh; Pranav Shyam; Pamela Mishkin; Bob McGrew; Ilya Sutskever; Mark Chen 003 (ICML, 2022)

Training language models to follow instructions with human feedback. - Long Ouyang; Jeffrey Wu 003; Xu Jiang; Diogo Almeida; Carroll L. Wainwright; Pamela Mishkin; Chong Zhang; Sandhini Agarwal; Katarina Slama; Alex Ray; John Schulman; Jacob Hilton; et al. (NeurIPS, 2022)

A Hazard Analysis Framework for Code Synthesis Large Language Models. - Heidy Khlaaf; Pamela Mishkin; Joshua Achiam; Gretchen Krueger; Miles Brundage (CoRR, 2022)

Point-E: A System for Generating 3D Point Clouds from Complex Prompts. - Alex Nichol; Heewoo Jun; Prafulla Dhariwal; Pamela Mishkin; Mark Chen 003 (CoRR, 2022)

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. - Tyna Eloundou; Sam Manning; Pamela Mishkin; Daniel Rock (CoRR, 2023)

Contextual Confidence and Generative AI. - Shrey Jain; Zoë Hitzig; Pamela Mishkin (CoRR, 2023)

First-Person Fairness in Chatbots. - Tyna Eloundou; Alex Beutel; David G. Robinson; Keren Gu-Lemberg; Anna-Luisa Brakman; Pamela Mishkin; Meghan Shah; Johannes Heidecke; Lilian Weng; Adam Tauman Kalai (CoRR, 2024)

First-Person Fairness in Chatbots. - Tyna Eloundou; Alex Beutel; David G. Robinson; Keren Gu; Anna-Luisa Brakman; Pamela Mishkin; Meghan Shah; Johannes Heidecke; Lilian Weng; Adam Tauman Kalai (ICLR, 2025)

Position: Contextual Confidence and Generative AI. - Shrey Jain; Zoë Hitzig; Pamela Mishkin (SaTML, 2025)

OpenAI's Approach to External Red Teaming for AI Models and Systems. - Lama Ahmad; Sandhini Agarwal; Michael Lampe; Pamela Mishkin (CoRR, 2025)

Evaluations at Work: Measuring the Capabilities of GenAI in Use. - Brandon Lepine; Gawesha Weerantunga; Juho Kim; Pamela Mishkin; Matthew Beane (CoRR, 2025)