| Discrete flows: Invertible generative models of discrete data D Tran, K Vafa, K Agrawal, L Dinh, B Poole Advances in Neural Information Processing Systems 32, 2019 | 138 | 2019 |
| Text-based ideal points K Vafa, S Naidu, DM Blei Association for Computational Linguistics, 2020 | 55 | 2020 |
| Rationales for sequential predictions K Vafa, Y Deng, DM Blei, AM Rush Conference on Empirical Methods in Natural Language Processing, 2021 | 38 | 2021 |
| Evaluating the world model implicit in a generative model K Vafa, J Chen, A Rambachan, J Kleinberg, S Mullainathan Advances in Neural Information Processing Systems 37, 26941-26975, 2025 | 18 | 2025 |
| Lookahead bias in pretrained language models SK Sarkar, K Vafa Available at SSRN, 2024 | 17 | 2024 |
| Assessing the effects of friend-to-friend texting on turnout in the 2018 US midterm elections A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ... Proceedings of the Web Conference 2021, 2025-2036, 2021 | 16* | 2021 |
| Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function K Vafa, A Rambachan, S Mullainathan International Conference on Machine Learning, 2024 | 11 | 2024 |
| CAREER: A Foundation Model for Labor Sequence Data K Vafa, E Palikot, T Du, A Kanodia, S Athey, DM Blei arXiv preprint arXiv:2202.08370, 2023 | 11* | 2023 |
| Training deep Gaussian processes with sampling K Vafa NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, 2016 | 9 | 2016 |
| Training and inference for deep Gaussian processes K Vafa | 9 | 2016 |
| Price discrimination in the princeton review’s online sat tutoring service K Vafa, C Haigh, A Leung, N Yonack Technology Science 2015090101, 2015 | 7 | 2015 |
| An invariant learning characterization of controlled text generation C Zheng, C Shi, K Vafa, A Feder, DM Blei Association for Computational Linguistics, 2023 | 6* | 2023 |
| Use large language models to promote equity E Pierson, D Shanmugam, R Movva, J Kleinberg, M Agrawal, M Dredze, ... arXiv preprint arXiv:2312.14804, 2023 | 4 | 2023 |
| Decomposing changes in the gender wage gap over worker careers K Vafa, S Athey, DM Blei NBER Summer Institute, Boston, MA, 2023 | 4 | 2023 |
| LABOR-LLM: Language-Based Occupational Representations with Large Language Models S Athey, H Brunborg, T Du, A Kanodia, K Vafa arXiv preprint arXiv:2406.17972, 2024 | 3 | 2024 |
| Estimating Wage Disparities Using Foundation Models K Vafa, S Athey, DM Blei arXiv preprint arXiv:2409.09894, 2024 | 2 | 2024 |
| Using Large Language Models to Promote Health Equity E Pierson, D Shanmugam, R Movva, J Kleinberg, M Agrawal, M Dredze, ... NEJM AI 2 (2), AIp2400889, 2025 | 1 | 2025 |
| Is Causal Inference Compatible With Frictionless Reproducibility? K Vafa Harvard Data Science Review 6 (1), 2024 | | 2024 |
| Revisiting Topic-Guided Language Models C Zheng, K Vafa, DM Blei Transactions on Machine Learning Research, 2023 | | 2023 |
| Interpretable Machine Learning for the Social Sciences: Applications in Political Science and Labor Economics K Vafa Columbia University, 2023 | | 2023 |