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Keyon Vafa
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2020 – today
- 2024
- [j2]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) - [c7]Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. ICML 2024 - [i11]Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. CoRR abs/2406.01382 (2024) - [i10]Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan:
Evaluating the World Model Implicit in a Generative Model. CoRR abs/2406.03689 (2024) - [i9]Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey:
LABOR-LLM: Language-Based Occupational Representations with Large Language Models. CoRR abs/2406.17972 (2024) - [i8]Keyon Vafa, Susan Athey, David M. Blei:
Estimating Wage Disparities Using Foundation Models. CoRR abs/2409.09894 (2024) - 2023
- [j1]Carolina Zheng, Keyon Vafa, David M. Blei:
Revisiting Topic-Guided Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. ACL (1) 2023: 3186-3206 - [i7]Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. CoRR abs/2306.00198 (2023) - [i6]Carolina Zheng, Keyon Vafa, David M. Blei:
Revisiting Topic-Guided Language Models. CoRR abs/2312.02331 (2023) - [i5]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 abs/2312.14804 (2023) - 2022
- [i4]Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei:
Learning Transferrable Representations of Career Trajectories for Economic Prediction. CoRR abs/2202.08370 (2022) - 2021
- [c5]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. EMNLP (1) 2021: 10314-10332 - [c4]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: 2025-2036 - [i3]Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush:
Rationales for Sequential Predictions. CoRR abs/2109.06387 (2021) - 2020
- [c3]Keyon Vafa, Suresh Naidu, David M. Blei:
Text-Based Ideal Points. ACL 2020: 5345-5357 - [i2]Keyon Vafa, Suresh Naidu, David M. Blei:
Text-Based Ideal Points. CoRR abs/2005.04232 (2020)
2010 – 2019
- 2019
- [c2]Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole:
Discrete Flows: Invertible Generative Models of Discrete Data. DGS@ICLR 2019 - [c1]Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole:
Discrete Flows: Invertible Generative Models of Discrete Data. NeurIPS 2019: 14692-14701 - [i1]Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole:
Discrete Flows: Invertible Generative Models of Discrete Data. CoRR abs/1905.10347 (2019)
Coauthor Index
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last updated on 2024-10-14 23:31 CEST by the dblp team
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