Neural Arabic Question Answering. - Hussein Mozannar; Elie Maamary; Karl El Hajal; Hazem M. Hajj (WANLP@ACL 2019, 2019)

Fair Learning with Private Demographic Data. - Hussein Mozannar; Mesrob I. Ohannessian; Nathan Srebro (ICML, 2020)

Consistent Estimators for Learning to Defer to an Expert. - Hussein Mozannar; David A. Sontag (ICML, 2020)

Teaching Humans When To Defer to a Classifier via Examplars. - Hussein Mozannar; Arvind Satyanarayan; David A. Sontag (CoRR, 2021)

Teaching Humans When to Defer to a Classifier via Exemplars. - Hussein Mozannar; Arvind Satyanarayan; David A. Sontag (AAAI, 2022)

Sample Efficient Learning of Predictors that Complement Humans. - Mohammad-Amin Charusaie; Hussein Mozannar; David A. Sontag; Samira Samadi (ICML, 2022)

Who Should Predict? Exact Algorithms For Learning to Defer to Humans. - Hussein Mozannar; Hunter Lang; Dennis Wei; Prasanna Sattigeri; Subhro Das; David A. Sontag (AISTATS, 2023)

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. - Yuzhou Cao; Hussein Mozannar; Lei Feng 006; Hongxin Wei; Bo An 001 (NeurIPS, 2023)

Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. - Hussein Mozannar; Jimin J. Lee; Dennis Wei; Prasanna Sattigeri; Subhro Das; David A. Sontag (NeurIPS, 2023)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. - Hussein Mozannar; Yuria Utsumi; Irene Y. Chen; Stephanie S. Gervasi; Michele Ewing; Aaron Smith-McLallen; David A. Sontag (CoRR, 2023)

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. - Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (AAAI, 2024)

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. - Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (CHI, 2024)

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. - Niklas Mannhardt; Elizabeth Bondi-Kelly; Barbara D. Lam; Chloe O'Connell; Mercy Asiedu; Hussein Mozannar; Monica Agrawal; Alejandro Buendia; Tatiana Urman; Irbaz B. Riaz; Catherine E. Ricciardi; Marzyeh Ghassemi; et al. (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks. - Adam Fourney; Gagan Bansal; Hussein Mozannar; Cheng Tan; Eduardo Salinas; Erkang Zhu; Friederike Niedtner; Grace Proebsting; Griffin Bassman; Jack Gerrits; Jacob Alber; Peter Chang; et al. (CoRR, 2024)

Challenges in Human-Agent Communication. - Gagan Bansal; Jennifer Wortman Vaughan; Saleema Amershi; Eric Horvitz; Adam Fourney; Hussein Mozannar; Victor Dibia; Daniel S. Weld (CoRR, 2024)

Navigating Rifts in Human-LLM Grounding: Study and Benchmark. - Omar Shaikh; Hussein Mozannar; Gagan Bansal; Adam Fourney; Eric Horvitz (ACL (1), 2025)

Need Help? Designing Proactive AI Assistants for Programming. - Valerie Chen; Alan Zhu 003; Sebastian Zhao; Hussein Mozannar; David A. Sontag; Ameet Talwalkar (CHI, 2025)

CodingGenie: A Proactive LLM-Powered Programming Assistant. - Sebastian Zhao; Alan Zhu 003; Hussein Mozannar; David A. Sontag; Ameet Talwalkar; Valerie Chen (SIGSOFT FSE Companion, 2025)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers. - Hussein Mozannar; Valerie Chen; Mohammed Alsobay; Subhro Das; Sebastian Zhao; Dennis Wei; Manish Nagireddy; Prasanna Sattigeri; Ameet Talwalkar; David A. Sontag (Trans. Mach. Learn. Res., 2025)

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents. - Enhao Zhang; Erkang Zhu; Gagan Bansal; Adam Fourney; Hussein Mozannar; Jack Gerrits (CoRR, 2025)

Magentic-UI: Towards Human-in-the-loop Agentic Systems. - Hussein Mozannar; Gagan Bansal; Cheng Tan; Adam Fourney; Victor Dibia; Jingya Chen; Jack Gerrits; Tyler Payne; Matheus Kunzler Maldaner; Madeleine Grunde-McLaughlin; Eric Zhu; Griffin Bassman; et al. (CoRR, 2025)