Keyon Vafa

28 papers A* 7Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
IJCNLP-AACL (long papers)
Celine Lee, Alexander M. Rush, Keyon Vafa
2025 J jnl
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
CoRR
Celine Lee, Alexander M. Rush, Keyon Vafa
2025 A* conf
Potemkin Understanding in Large Language Models.
ICML
Marina Mancoridis, Bec Weeks, Keyon Vafa, Sendhil Mullainathan
2025 J jnl
Potemkin Understanding in Large Language Models.
CoRR
Marina Mancoridis, Bec Weeks, Keyon Vafa, Sendhil Mullainathan
2025 A* conf
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models.
ICML
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan
2025 J jnl
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models.
CoRR
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan
2025 J jnl
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models.
CoRR
Keyon Vafa, Sarah Bentley, Jon M. Kleinberg, Sendhil Mullainathan
2024 J jnl
CAREER: A Foundation Model for Labor Sequence Data.
Trans. Mach. Learn. Res.
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
2024 A* conf
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.
ICML
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
2024 J jnl
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.
CoRR
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
2024 J jnl
Estimating Wage Disparities Using Foundation Models.
CoRR
Keyon Vafa, Susan Athey, David M. Blei
2024 A* conf
Evaluating the World Model Implicit in a Generative Model.
NeurIPS
Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon M. Kleinberg, Sendhil Mullainathan
2024 J jnl
Evaluating the World Model Implicit in a Generative Model.
CoRR
Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan
2024 J jnl
LABOR-LLM: Language-Based Occupational Representations with Large Language Models.
CoRR
Tianyu Du, Ayush Kanodia, Herman Brunborg, Keyon Vafa, Susan Athey
2023 — conf
An Invariant Learning Characterization of Controlled Text Generation.
ACL (1)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023 J jnl
An Invariant Learning Characterization of Controlled Text Generation.
CoRR
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023 J jnl
Revisiting Topic-Guided Language Models.
CoRR
Carolina Zheng, Keyon Vafa, David M. Blei
2023 J jnl
Revisiting Topic-Guided Language Models.
Trans. Mach. Learn. Res.
Carolina Zheng, Keyon Vafa, David M. Blei
2023 J jnl
Use large language models to promote equity.
CoRR
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
2022 J jnl
Learning Transferrable Representations of Career Trajectories for Economic Prediction.
CoRR
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
2021 A* conf
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections.
WWW
Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green
2021 — conf
Rationales for Sequential Predictions.
EMNLP (1)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2021 J jnl
Rationales for Sequential Predictions.
CoRR
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
2020 A* conf
Text-Based Ideal Points.
ACL
Keyon Vafa, Suresh Naidu, David M. Blei
2020 J jnl
Text-Based Ideal Points.
CoRR
Keyon Vafa, Suresh Naidu, David M. Blei
2019 — conf
Discrete Flows: Invertible Generative Models of Discrete Data.
DGS@ICLR
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
2019 A* conf
Discrete Flows: Invertible Generative Models of Discrete Data.
NeurIPS
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
2019 J jnl
Discrete Flows: Invertible Generative Models of Discrete Data.
CoRR
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole