| Consistent estimators for learning to defer to an expert H Mozannar, D Sontag International conference on machine learning, 7076-7087, 2020 | 201 | 2020 |
| Neural Arabic Question Answering H Mozannar, KE Hajal, E Maamary, H Hajj Proceedings of the Fourth Arabic Natural Language Processing Workshop, 108–118, 2019 | 141 | 2019 |
| Damage Identification in Social Media Posts using Multimodal Deep Learning H Mouzannar, Y Rizk, M Awad ISCRAM 2018 – 15th International Conference on Information Systems for …, 2018 | 137 | 2018 |
| From fair decision making to social equality H Mouzannar, MI Ohannessian, N Srebro Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 112 | 2019 |
| Reading between the lines: Modeling user behavior and costs in AI-assisted programming H Mozannar, G Bansal, A Fourney, E Horvitz CHI 2024, 2022 | 80* | 2022 |
| Fair learning with private demographic data H Mozannar, M Ohannessian, N Srebro International Conference on Machine Learning, 7066-7075, 2020 | 80 | 2020 |
| Teaching humans when to defer to a classifier via exemplars H Mozannar, A Satyanarayan, D Sontag Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5323-5331, 2022 | 44 | 2022 |
| Who Should Predict? Exact Algorithms For Learning to Defer to Humans H Mozannar, H Lang, D Wei, P Sattigeri, S Das, D Sontag International Conference on Artificial Intelligence and Statistics, 10520-10545, 2023 | 32 | 2023 |
| Sample efficient learning of predictors that complement humans MA Charusaie, H Mozannar, D Sontag, S Samadi International Conference on Machine Learning, 2972-3005, 2022 | 32 | 2022 |
| When to show a suggestion? Integrating human feedback in AI-assisted programming H Mozannar, G Bansal, A Fourney, E Horvitz Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10137 …, 2024 | 15* | 2024 |
| In defense of softmax parametrization for calibrated and consistent learning to defer Y Cao, H Mozannar, L Feng, H Wei, B An Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Effective human-AI teams via learned natural language rules and onboarding H Mozannar, J Lee, D Wei, P Sattigeri, S Das, D Sontag Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers H Mozannar, V Chen, M Alsobay, S Das, S Zhao, D Wei, M Nagireddy, ... arXiv preprint arXiv:2404.02806, 2024 | 2* | 2024 |
| Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study N Mannhardt, E Bondi-Kelly, B Lam, C O'Connell, M Asiedu, H Mozannar, ... arXiv preprint arXiv:2401.09637, 2024 | | 2024 |
| Training Human-AI Teams H Mozannar Massachusetts Institute of Technology, 2024 | | 2024 |
| Simulating Iterative Human-AI Interaction in Programming with LLMs H Mozannar, V Chen, D Wei, P Sattigeri, M Nagireddy, S Das, A Talwalkar, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | | 2023 |
| Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration H Mozannar, Y Utsumi, IY Chen, SS Gervasi, M Ewing, A Smith-McLallen, ... arXiv preprint arXiv:2305.17261, 2023 | | 2023 |
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
