Vafa, Keyon

12 publications

ICML 2025 Potemkin Understanding in Large Language Models Marina Mancoridis, Bec Weeks, Keyon Vafa, Sendhil Mullainathan

ICML 2025 What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan

NeurIPS 2025 What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models Keyon Vafa, Sarah Bentley, Jon Kleinberg, Sendhil Mullainathan

TMLR 2024 CAREER: A Foundation Model for Labor Sequence Data Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei

ICML 2024 Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan

NeurIPS 2024 Evaluating the World Model Implicit in a Generative Model Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan

TMLR 2023 Revisiting Topic-Guided Language Models Carolina Zheng, Keyon Vafa, David Blei

NeurIPSW 2022 An Invariant Learning Characterization of Controlled Text Generation Claudia Shi, Carolina Zheng, Keyon Vafa, Amir Feder, David Blei

NeurIPSW 2022 An Invariant Learning Characterization of Controlled Text Generation Claudia Shi, Carolina Zheng, Keyon Vafa, Amir Feder, David Blei

NeurIPSW 2022 CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei

NeurIPS 2019 Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran, Keyon Vafa, Kumar Agrawal, Laurent Dinh, Ben Poole

ICLRW 2019 Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran, Keyon Vafa, Kumar Agrawal, Laurent Dinh, Ben Poole