Current Research

Some recent papers with the Complex Data Lab.

Kowal, Matthew, Jasper Timm, Jean-Francois Godbout, Thomas Costello, Antonio A Arechar, Gordon Pennycook, David Rand, Adam Gleave, and Kellin Pelrine. 2025. “It’s the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics.”

Weijers, Ruben, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, Toshali Goel, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, and Kellin Pelrine. 2025. “From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions.”

Puelma Touzel, Maximilian, Sneheel Sarangi, Gayatri Krishnakumar, Busra Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao, and Kellin Pelrine. Forthcoming. “Simulating public discourse in digital societies by giving social media to multimodal AI agents.” Proceedings of the IJCAI Demo Track 2025. Montreal, Canada, August 16-22, 2025.

Lynn Curtis, Taylor, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-François Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2025. “Veracity: An Open-Source AI Fact-Checking System.” Proceedings of the IJCAI Demo Track 2025. Montreal, Canada, August 16-22, 2025.

Thibault, Camille, Jacob-Junqi Tian, Gabrielle Péloquin-Skulski, Taylor Lynn Curtis, James Zhou, Florence Laflamme, Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, and Kellin Pelrine. 2025. “A Guide to Misinformation Detection Data and Evaluation.” Proceedings of the KDD Datasets and Benchmarks Track 2025. Toronto, Canada, August 3-7, 2025.

Musulan, Andreea, Veronica Xia, Ethan Kosak-Hine, Tom Gibbs, Vidya Sujaya, Reihaneh Rabbany, Jean-François Godbout, and Kellin Pelrine. 2024. “Online Influence Campaigns: Strategies and Vulnerabilities.”

Ghafouri, Bijean, Shahrad Mohammadzadeh, James Zhou, Pratheeksha Nair, Jacob-Junqi Tian, Mayank Goel, Reihaneh Rabbany, Jean-Fran¸cois Godbout, and Kellin Pelrine. 2024. “Epistemic Integrity in Large Language Models.” Proceedings of the Safe Generative Worshop @ NeurIPS 2024. Vancouver, Canada, December 15, 2024.

Puelma Touzel, Maximilian, Sneheel Sarangi, Austin Welch, Gayatri Krishnakumar, Dan Zhao, Zachary Yang, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Andreea Musulan, Camille Thibault, Busra Tugce Gurbuz, Reihaneh Rabbany, Jean-François Godbout, and Kellin Pelrine. 2024. “A Simulation System Towards Solving Societal-Scale Manipulation.” Proceedings of the NeurIPS 2024 Workshops: SoLaR, SATA, SafeGenAI. Vancouver, Canada, December 10, 2024.

Tian, Jacob-Junqi, Hao Yu, Yury Orlovskiy, Tyler Vergho, Mauricio Rivera, Mayank Goel, Zachary Yang, Jean-François Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024. “Web retrieval agents for evidence-based misinformation detection.” Proceedings of the First Conference on Language Modeling, COLM 2024. Philadelphia, Pennsylvania, October 7, 2024.

Omidi Shayegan, Sahar, Isar Nejadgholi, Kellin Pelrine, Hao Yu, Sacha Levy, Zachary Yang, Jean- François Godbout, and Reihaneh Rabbany. 2024. “An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter.” Proceedings of the 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI). Torino, Italia, May 24, 2024. Pages 51-56.

Weijers, Ruben, Gabrielle Fidelis De Castilho, Jean-François Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024. “Quantifying learning-style adaptation in effectiveness of LLM teaching.” Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024). St. Julians, Malta, March 22, 2024.

Vergho, Tyler, Jean-Francois Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024. “Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation.” Proceedings of the Responsible Language Models (ReLM) workshop. Vancouver, Canada, February 26, 2024.

Pelrine, Kellin, Anne Imouza, Zachary Yang, Gabrielle Desrosiers-Brisebois, Sacha Levy, Jacob Tian, Cécile Amadoro, André Blais, Jean-François Godbout, and Reihaneh Rabbany. 2024. “Party Prediction for Twitter.” Proceedings of the International AAAI Conference on Web and Social Media. Buffalo, New York, June 3-6, 2024.

Pelrine, Kellin, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, Reihaneh Rabbany. 2023. “Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4.” Proceedings of the Conference on Empirical Methods in Natural Language Processing. Singapore, December 6-10, 2023.

Orlovskiy, Yury, Camille Thibault, Anne Imouza, Jean-François Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024. “Uncertainty Resolution in Misinformation Detection.”

Rivera, Mauricio, Jean-François Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024. “Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation.”

Hao Yu, Zachary Yang, Kellin Pelrine, Jean-François Godbout, and Reihaneh Rabbany. 2023. “Open, Closed, or Small Language Models for Text Classification?”.

Pelrine, Kellin, Anne Imouza, Gabrielle Desrosiers-Brisebois, Zachary Yang, Sacha Lévy, Aarash Feizi, Jiewen Liu, André Blais, Jean-François Godbout, and Reihaneh Rabbany. 2022. “Ebbs and Flows of Polarization During a Political Campaign.”