Current Research

Some recent papers with the Complex Data Lab.

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.”