| Consistent estimators for learning to defer to an expert H Mozannar, D Sontag International conference on machine learning, 7076-7087, 2020 | 244 | 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 | 167 | 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 | 160 | 2018 |
| From fair decision making to social equality H Mouzannar, MI Ohannessian, N Srebro Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 122 | 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 | 120* | 2022 |
| Fair learning with private demographic data H Mozannar, M Ohannessian, N Srebro International Conference on Machine Learning, 7066-7075, 2020 | 95 | 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 | 57 | 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 | 52 | 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 | 43 | 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 | 28* | 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, 38485-38503, 2023 | 19 | 2023 |
| 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, 30466-30498, 2023 | 17 | 2023 |
| Magentic-one: A generalist multi-agent system for solving complex tasks A Fourney, G Bansal, H Mozannar, C Tan, E Salinas, F Niedtner, ... arXiv preprint arXiv:2411.04468, 2024 | 14* | 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 | 12* | 2024 |
| Impact of large language model assistance on patients reading clinical notes: a mixed-methods study N Mannhardt, E Bondi-Kelly, B Lam, H Mozannar, C O'Connell, M Asiedu, ... arXiv preprint arXiv:2401.09637, 2024 | 7 | 2024 |
| Recent advances, applications, and open challenges in machine learning for health: Reflections from research roundtables at ml4h 2023 symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | 4 | 2024 |
| Challenges in Human-Agent Communication G Bansal, JW Vaughan, S Amershi, E Horvitz, A Fourney, H Mozannar, ... arXiv preprint arXiv:2412.10380, 2024 | 2 | 2024 |
| Need Help? Designing Proactive AI Assistants for Programming V Chen, A Zhu, S Zhao, H Mozannar, D Sontag, A Talwalkar arXiv preprint arXiv:2410.04596, 2024 | 1 | 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 | 1 | 2023 |
| Training Human-AI Teams H Mozannar Massachusetts Institute of Technology, 2024 | | 2024 |
David SontagProfessor, Massachusetts Institute of TechnologyПідтверджена електронна адреса в csail.mit.edu
