| The surprising performance of simple baselines for misinformation detection K Pelrine, J Danovitch, R Rabbany Proceedings of the Web Conference 2021, 3432-3441, 2021 | 49 | 2021 |
| Towards better evaluation for dynamic link prediction F Poursafaei, S Huang, K Pelrine, R Rabbany Advances in Neural Information Processing Systems 35, 32928-32941, 2022 | 46 | 2022 |
| Adversarial Policies Beat Superhuman Go AIs TT Wang, A Gleave, T Tseng, K Pelrine, N Belrose, J Miller, MD Dennis, ... arXiv preprint arXiv:2211.00241, 2022 | 38* | 2022 |
| Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 K Pelrine, A Imouza, C Thibault, M Reksoprodjo, C Gupta, J Christoph, ... arXiv preprint arXiv:2305.14928, 2023 | 12 | 2023 |
| Exploiting novel gpt-4 apis K Pelrine, M Taufeeque, M Zając, E McLean, A Gleave arXiv preprint arXiv:2312.14302, 2023 | 8 | 2023 |
| Open, Closed, or Small Language Models for Text Classification? H Yu, Z Yang, K Pelrine, JF Godbout, R Rabbany arXiv preprint arXiv:2308.10092, 2023 | 7 | 2023 |
| Extracting person names from user generated text: Named-entity recognition for combating human trafficking Y Li, P Nair, K Pelrine, R Rabbany Findings of the Association for Computational Linguistics: ACL 2022, 2854-2868, 2022 | 6 | 2022 |
| Online partisan polarization of covid-19 Z Yang, A Imouza, K Pelrine, S Lévy, J Liu, G Desrosiers-Brisebois, ... 2021 International Conference on Data Mining Workshops (ICDMW), 893-901, 2021 | 4 | 2021 |
| Party Prediction for Twitter K Pelrine, A Imouza, Z Yang, JJ Tian, S Lévy, G Desrosiers-Brisebois, ... arXiv preprint arXiv:2308.13699, 2023 | 2 | 2023 |
| Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation M Rivera, JF Godbout, R Rabbany, K Pelrine arXiv preprint arXiv:2401.08694, 2024 | 1 | 2024 |
| Active Keyword Selection to Track Evolving Topics on Twitter S Lévy, F Poursafaei, K Pelrine, R Rabbany 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 507-516, 2022 | 1 | 2022 |
| Quantifying learning-style adaptation in effectiveness of LLM teaching R Weijers, GF de Castilho, JF Godbout, R Rabbany, K Pelrine Proceedings of the 1st Workshop on Personalization of Generative AI Systems …, 2024 | | 2024 |
| Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation T Vergho, JF Godbout, R Rabbany, K Pelrine arXiv preprint arXiv:2401.06920, 2024 | | 2024 |
| Uncertainty Resolution in Misinformation Detection Y Orlovskiy, C Thibault, A Imouza, JF Godbout, R Rabbany, K Pelrine arXiv preprint arXiv:2401.01197, 2024 | | 2024 |
| SWEET-Weakly Supervised Person Name Extraction for Fighting Human Trafficking J Liu, H Yu, V Sujaya, P Nair, K Pelrine, R Rabbany Findings of the Association for Computational Linguistics: EMNLP 2023, 3355-3367, 2023 | | 2023 |
| [SRW] SWEET: Weakly Supervised Person Name Extraction for Fighting Human Trafficking J Liu, P Yu, V Sujaya, P Nair, K Pelrine, R Rabbany The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents K Pelrine, J Danovitch, AO Camacho, R Rabbany Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020 | | 2020 |
| A Note on the Unconditional Bias of the Nadaraya-Watson Regression Estimator K Pelrine | | 2018 |
| Better Bridges Between Model and Real World K Pelrine | | |
| Ebbs and Flows of Polarization During a Political Campaign K Pelrine, A Imouza, G Desrosiers-Brisebois, Z Yang, S Lévy, A Feizi, ... | | |
Reihaneh RabbanyAssistant Professor of Computer Science, McGill University; Canada CIFAR AI Chair, MilaVerified email at cs.mcgill.ca
