Mishkin, Pamela

Learning Transferable Visual Models From Natural Language Supervision

Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 15,293

Training language models to follow instructions with human feedback

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 4,208

Training Language Models to Follow Instructions with Human Feedback

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · Advances in Neural Information Processing Systems 35

Natural Language Processing TechniquesTopic Modeling

Cited by 3,117

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023) · arXiv

Labor market dynamics and wage inequalityDigital Economy and Work Transformation

Cited by 2,330

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., & Chen, M. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1,357

Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand

Teutloff, O., Einsiedler, J., Kässi, O., Braesemann, F., Mishkin, P., & del Rio-Chanona, R. M. (2025) · Journal of Economic Behavior & Organization

Digital Economy and Work TransformationLabor market dynamics and wage inequality

Cited by 39

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

A Hazard Analysis Framework for Code Synthesis Large Language Models

Khlaaf, H., Mishkin, P., Achiam, J., Krueger, G., & Brundage, M. (2022) · arXiv

Software Engineering ResearchEthics and Social Impacts of AI

Cited by 23

AI Can Help Workers Gain New Technical Capabilities Without Gaining Knowledge

Wiles, E., Krayer, L., Abbadi, M., Awasthi, U., Kennedy, R., Mishkin, P., Sack, D., & Candelon, F. (2024) · SSRN Electronic Journal

Labor market dynamics and wage inequalityAI and HR Technologies

Cited by 7