Vafa, Keyon

Lookahead Bias in Pretrained Language Models

Sarkar, S., & Vafa, K. (2024) · SSRN Electronic Journal

Computational and Text Analysis MethodsTopic Modeling

Cited by 23

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J. Y., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · arXiv

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22

Rationales for Sequential Predictions

Vafa, K., Deng, Y., Blei, D., & Rush, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 14

What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models

Vafa, K., Chang, P. G., Rambachan, A., & Mullainathan, S. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 3

Critical thinking: Which kinds of complexity govern optimal reasoning length?

Lee, C., Rush, A. M., & Vafa, K. (2025) · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 0