Keyon Vafa

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Language Models For Information Retrieval

Latent Dirichlet Allocation

Top Venues

Trans. Mach. Learn. Res.

Publications

Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. CoRR (2024)
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
CAREER: A Foundation Model for Labor Sequence Data. Trans. Mach. Learn. Res. 2024 (2024)
Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey
LABOR-LLM: Language-Based Occupational Representations with Large Language Models. CoRR (2024)
Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan
Evaluating the World Model Implicit in a Generative Model. CoRR (2024)
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
Use large language models to promote equity. CoRR (2023)
Carolina Zheng, Keyon Vafa, David M. Blei
Revisiting Topic-Guided Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. CoRR (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. ACL (1) (2023)
Carolina Zheng, Keyon Vafa, David M. Blei
Revisiting Topic-Guided Language Models. CoRR (2023)
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
Learning Transferrable Representations of Career Trajectories for Economic Prediction. CoRR (2022)
Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. WWW (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. CoRR (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. EMNLP (1) (2021)
Keyon Vafa, Suresh Naidu, David M. Blei
Text-Based Ideal Points. CoRR (2020)
Keyon Vafa, Suresh Naidu, David M. Blei
Text-Based Ideal Points. ACL (2020)
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
Discrete Flows: Invertible Generative Models of Discrete Data. CoRR (2019)
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
Discrete Flows: Invertible Generative Models of Discrete Data. NeurIPS (2019)
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
Discrete Flows: Invertible Generative Models of Discrete Data. DGS@ICLR (2019)