Keyon Vafa

According to our database, Keyon Vafa authored at least 17 papers between 2019 and 2025.

Collaborative distances:

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

2025

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

Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan

CoRR, July, 2025

Potemkin Understanding in Large Language Models.

Marina Mancoridis, Bec Weeks, Keyon Vafa, Sendhil Mullainathan

CoRR, June, 2025

Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?

Celine Lee, Alexander M. Rush, Keyon Vafa

CoRR, April, 2025

What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models.

Keyon Vafa, Sarah Bentley, Jon M. Kleinberg, Sendhil Mullainathan

CoRR, March, 2025

2024

CAREER: A Foundation Model for Labor Sequence Data.

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

Trans. Mach. Learn. Res., 2024

Estimating Wage Disparities Using Foundation Models.

Keyon Vafa, Susan Athey, David M. Blei

CoRR, 2024

LABOR-LLM: Language-Based Occupational Representations with Large Language Models.

Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey

CoRR, 2024

Evaluating the World Model Implicit in a Generative Model.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Revisiting Topic-Guided Language Models.

Carolina Zheng, Keyon Vafa, David M. Blei

Trans. Mach. Learn. Res., 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

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