Marwa Abdulhai

According to our database, Marwa Abdulhai authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors.

Shuhaib Mehri, Philippe Laban, Sumuk Shashidhar, Marwa Abdulhai, Sergey Levine, Michel Galley, Dilek Hakkani-Tür

CoRR, May, 2026

How LLMs Distort Our Written Language.

Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Z. Leibo, Max Kleiman-Weiner, Natasha Jaques

CoRR, March, 2026

2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo

CoRR, December, 2025

Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning.

Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques

CoRR, November, 2025

Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL.

Marwa Abdulhai, Ryan Cheng, Aryansh Shrivastava, Natasha Jaques, Yarin Gal, Sergey Levine

CoRR, October, 2025

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward.

Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia.

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Hieu Minh Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Shi, Yoonchang Sung, Muhammad Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Ríos, Oswaldo Peña, Carlos Rojas, Manuela Chacon-Chamorro, Rubén Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Ruiyang Wu, Chetan Talele, Sunjia Lu, Gema Parreno, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, José Hernández-Orallo, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.

Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Blind Faith? User Preference and Expert Assessment of AI-Generated Religious Content.

Sabriya Maryam Alam, Marwa Abdulhai, Niloufar Salehi

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

2024

Virtual Personas for Language Models via an Anthology of Backstories.

Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David M. Chan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Moral Foundations of Large Language Models.

Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Defining Deception in Decision Making.

Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Personality Traits in Large Language Models.

Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric

CoRR, 2023

2022

Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience.

Marwa Abdulhai, Natasha Jaques, Sergey Levine

CoRR, 2022

Context-Specific Representation Abstraction for Deep Option Learning.

Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning.

Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

Proceedings of the 38th International Conference on Machine Learning, 2021