Tworek, Jerry

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

Solving Rubik's Cube with a Robot Hand

OpenAI, Akkaya, I., Andrychowicz, M., Chociej, M., Litwin, M., McGrew, B., Petron, A., Paino, A., Plappert, M., Powell, G., et al. (2019) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 602

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Patwardhan, T., Dias, R., Proehl, E., Kim, G., Wang, M., Watkins, O., Fishman, S. P., Aljubeh, M., Thacker, P., Fauconnet, L., et al. (2025) · arXiv

Artificial Intelligence ApplicationsTopic Modeling

Cited by 189

Efficient Training of Language Models to Fill in the Middle

Bavarian, M., Jun, H., Tezak, N., Schulman, J., McLeavey, C., Tworek, J., & Chen, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 47

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

Competitive Programming with Large Reasoning Models

OpenAI, :, El-Kishky, A., Wei, A., Saraiva, A., Minaiev, B., Selsam, D., Dohan, D., Song, F., Lightman, H., et al. (2025) · arXiv

Teaching and Learning ProgrammingAI-based Problem Solving and Planning

Cited by 6