Lujain Ibrahim

According to our database, Lujain Ibrahim authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Verbalizing LLMs' assumptions to explain and control sycophancy.

Myra Cheng, Isabel Sieh, Humishka Zope, Sunny Yu, Lujain Ibrahim, Aryaman Arora, Jared Moore, Desmond C. Ong, Dan Jurafsky, Diyi Yang

CoRR, April, 2026

Evaluating Language Models for Harmful Manipulation.

Canfer Akbulut, Rasmi Elasmar, Abhishek Roy, Anthony Payne, Priyanka Suresh, Lujain Ibrahim, Seliem El-Sayed, Charvi Rastogi, Ashyana Kachra, Will Hawkins, Kristian Lum, Laura Weidinger

CoRR, March, 2026

Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues.

Kobi Hackenburg, Lujain Ibrahim, Ben M. Tappin, Manos Tsakiris

AI Soc., January, 2026

Verbalizing LLMs' Assumptions About the User to Calibrate Expectations and Reduce Sycophancy.

Myra Cheng, Sunny Yu, Lujain Ibrahim, Diyi Yang, Dan Jurafsky

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks.

Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi

CoRR, November, 2025

Measuring and mitigating overreliance is necessary for building human-compatible AI.

Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt

CoRR, September, 2025

Documenting Deployment with Fabric: A Repository of Real-World AI Governance.

Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt

CoRR, August, 2025

Training language models to be warm and empathetic makes them less reliable and more sycophantic.

Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher

CoRR, July, 2025

Social Sycophancy: A Broader Understanding of LLM Sycophancy.

Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky

CoRR, May, 2025

Promising Topics for U.S.-China Dialogues on AI Risks and Governance.

Saad Siddiqui, Lujain Ibrahim, Kristy Loke, Stephen Clare, Marianne Lu, Aris Richardson, Conor McGlynn, Jeffrey Ding

CoRR, May, 2025

Thinking beyond the anthropomorphic paradigm benefits LLM research.

Lujain Ibrahim, Myra Cheng

CoRR, February, 2025

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models.

Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger

CoRR, February, 2025

Open Problems in Technical AI Governance.

Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager

Trans. Mach. Learn. Res., 2025

Promising Topics for US-China Dialogues on AI Risks and Governance.

Saad Siddiqui, Lujain Ibrahim, Kristy Loke, Stephen Clare, Marianne Lu, Aris Richardson, Conor McGlynn, Jeffrey Ding

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Open Problems in Technical AI Governance.

Anka Reuel, Ben Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager

CoRR, 2024

Beyond static AI evaluations: advancing human interaction evaluations for LLM harms and risks.

Lujain Ibrahim, Saffron Huang, Lama Ahmad, Markus Anderljung

CoRR, 2024

Characterizing and modeling harms from interactions with design patterns in AI interfaces.

Lujain Ibrahim, Luc Rocher, Ana Valdivia

CoRR, 2024

2023

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations.

Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2021

The MAIEI Learning Community Report.

Brittany Wills, Christina Isaicu, Heather von Stackelberg, Lujain Ibrahim, Matthew Hutson, Mitchel Fleming, Nanditha Narayanamoorthy, Samuel Curtis, Shreyasha Paudel, Sofía Trejo, Tiziana Zevallos, Victoria Martín del Campo, Wilson Lee

CoRR, 2021

Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis.

Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

2020

Explainable Prediction of Acute Myocardial Infarction Using Machine Learning and Shapley Values.

Lujain Ibrahim, Munib Mesinovic, Kai-Wen K. Yang, Mohamad A. Eid

IEEE Access, 2020