Kellin Pelrine

According to our database, Kellin Pelrine authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation.

Mauricio Rivera, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

CoRR, 2024

Comparing GPT-4 and Open-Source Language Models in Misinformation Mitigation.

Tyler Vergho, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

CoRR, 2024

Uncertainty Resolution in Misinformation Detection.

Yury Orlovskiy, Camille Thibault, Anne Imouza, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine

CoRR, 2024

2023

Exploiting Novel GPT-4 APIs.

Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave

CoRR, 2023

Party Prediction for Twitter.

Kellin Pelrine, Anne Imouza, Zachary Yang, Jacob-Junqi Tian, Sacha Lévy, Gabrielle Desrosiers-Brisebois, Aarash Feizi, Cécile Amadoro, André Blais, Jean-François Godbout, Reihaneh Rabbany

CoRR, 2023

Open, Closed, or Small Language Models for Text Classification?

Hao Yu, Zachary Yang, Kellin Pelrine, Jean-François Godbout, Reihaneh Rabbany

CoRR, 2023

Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4.

Kellin Pelrine, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Reihaneh Rabbany

CoRR, 2023

Adversarial Policies Beat Superhuman Go AIs.

Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell

Proceedings of the International Conference on Machine Learning, 2023

Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4.

Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, Reihaneh Rabbany

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking.

Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Better Bridges Between Model and Real World.

Kellin Pelrine

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Towards Better Evaluation for Dynamic Link Prediction.

Farimah Poursafaei, Shenyang Huang, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Keyword Selection to Track Evolving Topics on Twitter.

Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking.

Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

The Surprising Performance of Simple Baselines for Misinformation Detection.

Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany

Proceedings of the WWW '21: The Web Conference 2021, 2021

Online Partisan Polarization of COVID-19.

Zachary Yang, Anne Imouza, Kellin Pelrine, Sacha Levy, Jiewen Liu, Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais, Reihaneh Rabbany

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents.

Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho, Reihaneh Rabbany

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020