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 (W-NUT@EMNLP, 2020)

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 (ICDM (Workshops), 2021)

The Surprising Performance of Simple Baselines for Misinformation Detection. - Kellin Pelrine; Jacob Danovitch; Reihaneh Rabbany (WWW, 2021)

Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking. - Yifei Li; Pratheeksha Nair; Kellin Pelrine; Reihaneh Rabbany (ACL (Findings), 2022)

Active Keyword Selection to Track Evolving Topics on Twitter. - Sacha Lévy; Farimah Poursafaei; Kellin Pelrine; Reihaneh Rabbany (ICDM (Workshops), 2022)

Towards Better Evaluation for Dynamic Link Prediction. - Farimah Poursafaei; Shenyang Huang; Kellin Pelrine; Reihaneh Rabbany (NeurIPS, 2022)

Better Bridges Between Model and Real World. - Kellin Pelrine (Canadian AI, 2023)

SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking. - Javin Liu; Hao Yu; Vidya Sujaya; Pratheeksha Nair; Kellin Pelrine; Reihaneh Rabbany (EMNLP (Findings), 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 (EMNLP, 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 001 (ICML, 2023)

Open, Closed, or Small Language Models for Text Classification? - Hao Yu; Zachary Yang; Kellin Pelrine; Jean-François Godbout; Reihaneh Rabbany (CoRR, 2023)

Exploiting Novel GPT-4 APIs. - Kellin Pelrine; Mohammad Taufeeque; Michal Zajac 005; 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 (ICWSM, 2024)

Uncertainty Resolution in Misinformation Detection. - Yury Orlovskiy; Camille Thibault; Anne Imouza; 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)

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

Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada. - Zachary Yang; Anne Imouza; Maximilian Puelma Touzel; Cécile Amadoro; Gabrielle Desrosiers-Brisebois; Kellin Pelrine; Sacha Levy; Jean-François Godbout; Reihaneh Rabbany (CoRR, 2024)

Scaling Laws for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (CoRR, 2024)

Web Retrieval Agents for Evidence-Based Misinformation Detection. - Jacob-Junqi Tian; Hao Yu; Yury Orlovskiy; Tyler Vergho; Mauricio Rivera; Mayank Goel; Zachary Yang; Jean-François Godbout; Reihaneh Rabbany; Kellin Pelrine (CoRR, 2024)

Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks. - Tom Gibbs; Ethan Kosak-Hine; George Ingebretsen; Jason Zhang; Julius Broomfield; Sara Pieri; Reihaneh Iranmanesh; Reihaneh Rabbany; Kellin Pelrine (CoRR, 2024)

A Simulation System Towards Solving Societal-Scale Manipulation. - Maximilian Puelma Touzel; Sneheel Sarangi; Austin Welch; Gayatri Krishnakumar; Dan Zhao; Zachary Yang; Hao Yu; Ethan Kosak-Hine; Tom Gibbs; Andreea Musulan; Camille Thibault; Busra Tugce Gurbuz; et al. (CoRR, 2024)

A Guide to Misinformation Detection Datasets. - Camille Thibault; Gabrielle Peloquin-Skulski; Jacob-Junqi Tian; Florence Laflamme; Yuxiang Guan; Reihaneh Rabbany; Jean-François Godbout; Kellin Pelrine (CoRR, 2024)

Epistemic Integrity in Large Language Models. - Bijean Ghafouri; Shahrad Mohammadzadeh; James Zhou; Pratheeksha Nair; Jacob-Junqi Tian; Mayank Goel; Reihaneh Rabbany; Jean-François Godbout; Kellin Pelrine (CoRR, 2024)

Scaling Trends for Data Poisoning in LLMs. - Dillon Bowen; Brendan Murphy; Will Cai; David Khachaturov; Adam Gleave; Kellin Pelrine (AAAI, 2025)

Can Go AIs Be Adversarially Robust? - Tom Tseng; Euan McLean; Kellin Pelrine; Tony Tong Wang; Adam Gleave (AAAI, 2025)

The Structural Safety Generalization Problem. - Julius Broomfield; Tom Gibbs; George Ingebretsen; Ethan Kosak-Hine; Tia Nasir; Jason Zhang; Reihaneh Iranmanesh; Sara Pieri; Reihaneh Rabbany; Kellin Pelrine (ACL (Findings), 2025)

Online Influence Campaigns: Strategies and Vulnerabilities. - Andreea Musulan; Veronica Xia; Ethan Kosak-Hine; Tom Gibbs; Vidya Sujaya; Reihaneh Rabbany; Jean-François Godbout; Kellin Pelrine (CoRR, 2025)

From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions. - Ruben Weijers; Denton Wu; Hannah Betts; Tamara Jacod; Yuxiang Guan; Vidya Sujaya; Kushal Dev; Toshali Goel; William Delooze; Reihaneh Rabbany; Ying Wu; Jean-François Godbout; et al. (CoRR, 2025)

Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability. - Punya Syon Pandey; Samuel Simko; Kellin Pelrine; Zhijing Jin 001 (CoRR, 2025)

It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics. - Matthew Kowal; Jasper Timm; Jean-François Godbout; Thomas Costello; Antonio A. Arechar; Gordon Pennycook; David Rand; Adam Gleave; Kellin Pelrine (CoRR, 2025)

Veracity: An Open-Source AI Fact-Checking System. - Taylor Lynn Curtis; Maximilian Puelma Touzel; William Garneau; Manon Gruaz; Mike Pinder; Li Wei Wang; Sukanya Krishna; Luda Cohen; Jean-François Godbout; Reihaneh Rabbany; Kellin Pelrine (CoRR, 2025)

Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility. - Brendan Murphy; Dillon Bowen; Shahrad Mohammadzadeh; Julius Broomfield; Adam Gleave; Kellin Pelrine (CoRR, 2025)