| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| The Llama 4 Herd: The beginning of a new era of natively multimodal AI Innovation AI Meta https://ai.meta.com/blog/llama-4-multimodal-intelligence/ 4 (7), 2025, 2025 | 249 | 2025 |
| Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks C Nagpal, X Li, A Dubrawski IEEE Journal of Biomedical and Health Informatics 25 (8), 3163-3175, 2021 | 210 | 2021 |
| Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning A Setlur, C Nagpal, A Fisch, X Geng, J Eisenstein, R Agarwal, A Agarwal, ... arXiv preprint arXiv:2410.08146, 2024 | 188 | 2024 |
| Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking J Eisenstein, C Nagpal, A Agarwal, A Beirami, A D'Amour, DJ Dvijotham, ... arXiv preprint arXiv:2312.09244, 2023 | 139* | 2023 |
| Deep Cox mixtures for survival regression C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller Machine Learning for Healthcare Conference, 674-708, 2021 | 123 | 2021 |
| A toolbox for surfacing health equity harms and biases in large language models SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ... Nature Medicine 30 (12), 3590-3600, 2024 | 112 | 2024 |
| Theoretical guarantees on the best-of-n alignment policy A Beirami, A Agarwal, J Berant, A D'Amour, J Eisenstein, C Nagpal, ... arXiv preprint arXiv:2401.01879, 2024 | 72 | 2024 |
| Robust preference optimization through reward model distillation A Fisch, J Eisenstein, V Zayats, A Agarwal, A Beirami, C Nagpal, P Shaw, ... arXiv preprint arXiv:2405.19316, 2024 | 61 | 2024 |
| An Entity Resolution approach to isolate instances of Human Trafficking online C Nagpal, K Miller, B Boecking, A Dubrawski W-NUT, Empirical Methods in Natural Language Processing (EMNLP) 2017, 2017 | 55 | 2017 |
| Deep Parametric Time-to-Event Regression with Time-Varying Covariates C Nagpal, V Jeanselme, A Dubrawski Survival Prediction-Algorithms, Challenges and Applications, 184-193, 2021 | 40 | 2021 |
| Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation K Lum, JR Anthis, C Nagpal, A D'Amour arXiv preprint arXiv:2402.12649, 2024 | 35* | 2024 |
| Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines C Nagpal, D Wei, B Vinzamuri, M Shekhar, SE Berger, S Das, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 19-29, 2020 | 35* | 2020 |
| Counterfactual Phenotyping with Censored Time-to-Events C Nagpal, M Goswami, K Dufendach, A Dubrawski ACM Conference on Knowledge Discovery and Data Mining, 2022 | 34 | 2022 |
| auton-survival: An open-source package for regression, counterfactual estimation, evaluation and phenotyping with censored time-to-event data C Nagpal, W Potosnak, A Dubrawski Machine Learning for Healthcare Conference, 585-608, 2022 | 33 | 2022 |
| The case for globalizing fairness: a mixed methods study on colonialism, AI, and health in Africa MN Asiedu, A Dieng, I Haykel, N Rostamzadeh, S Pfohl, C Nagpal, ... Proceedings of the 4th ACM Conference on Equity and Access in Algorithms …, 2024 | 21 | 2024 |
| InfAlign: Inference-aware language model alignment A Balashankar, Z Sun, J Berant, J Eisenstein, M Collins, A Hutter, J Lee, ... arXiv preprint arXiv:2412.19792, 2024 | 20* | 2024 |
| Transforming and Combining Rewards for Aligning Large Language Models Z Wang, C Nagpal, J Berant, J Eisenstein, A D'Amour, S Koyejo, V Veitch arXiv preprint arXiv:2402.00742, 2024 | 19 | 2024 |
| Participatory Personalization in Classification H James, C Nagpal, KA Heller, B Ustun Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 14* | 2023 |
| Nonlinear semi-parametric models for survival analysis C Nagpal, R Sangave, A Chahar, P Shah, A Dubrawski, B Raj arXiv preprint arXiv:1905.05865, 2019 | 13 | 2019 |
Artur DubrawskiCarnegie Mellon UniversityVerified email at cs.cmu.edu
