Mullainathan, Sendhil

8 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

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

NeurIPS 2024 Language Generation in the Limit Jon Kleinberg, Sendhil Mullainathan

ICML 2019 Direct Uncertainty Prediction for Medical Second Opinions Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Bobby Kleinberg, Sendhil Mullainathan, Jon Kleinberg

ICML 2019 Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography Andrew Miller, Ziad Obermeyer, John Cunningham, Sendhil Mullainathan