Keyon Vafa

According to our database, Keyon Vafa authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating the World Model Implicit in a Generative Model.

Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan

CoRR, 2024

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.

Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan

CoRR, 2024

2023

Use large language models to promote equity.

Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa

CoRR, 2023

Revisiting Topic-Guided Language Models.

Carolina Zheng, Keyon Vafa, David M. Blei

CoRR, 2023

An Invariant Learning Characterization of Controlled Text Generation.

Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning Transferrable Representations of Career Trajectories for Economic Prediction.

Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei

CoRR, 2022

2021

Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections.

Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green

Proceedings of the WWW '21: The Web Conference 2021, 2021

Rationales for Sequential Predictions.

Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Text-Based Ideal Points.

Keyon Vafa, Suresh Naidu, David M. Blei

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Discrete Flows: Invertible Generative Models of Discrete Data.

Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019