Kellin Pelrine

According to our database, Kellin Pelrine authored at least 44 papers between 2020 and 2026.

Collaborative distances:

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

2026

Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution.

Matthew Kowal, Goncalo Paulo, Louis Jaburi, Tom Tseng, Lev E. McKinney, Stefan Heimersheim, Aaron David Tucker, Adam Gleave, Kellin Pelrine

CoRR, February, 2026

Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks.

Lukas Struppek, Adam Gleave, Kellin Pelrine

CoRR, February, 2026

TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering.

Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla

CoRR, February, 2026

Large language models can effectively convince people to believe conspiracies.

Thomas Costello, Kellin Pelrine, Matthew Kowal, Antonio A. Arechar, Jean-François Godbout, Adam Gleave, David Rand, Gordon Pennycook

CoRR, January, 2026

Open Technical Problems in Open-Weight AI Model Risk Management.

Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J. Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2026

2025

Emergent Persuasion: Will LLMs Persuade Without Being Prompted?

Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal

CoRR, December, 2025

BluePrint: A Social Media User Dataset for LLM Persona Evaluation and Training.

Aurélien Bück-Kaeffer, Je Qin Chooi, Dan Zhao, Maximilian Puelma Touzel, Kellin Pelrine, Jean-François Godbout, Reihaneh Rabbany, Zachary Yang

CoRR, October, 2025

CrediBench: Building Web-Scale Network Datasets for Information Integrity.

Emma Kondrup, Sebastian Sabry, Hussein Abdallah, Zachary Yang, James Zhou, Kellin Pelrine, Jean-François Godbout, Michael M. Bronstein, Reihaneh Rabbany, Shenyang Huang

CoRR, September, 2025

Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility.

Brendan Murphy, Dillon Bowen, Shahrad Mohammadzadeh, Julius Broomfield, Adam Gleave, Kellin Pelrine

CoRR, July, 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, June, 2025

Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability.

Punya Syon Pandey, Samuel Simko, Kellin Pelrine, Zhijing Jin

CoRR, May, 2025

From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions.

Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Luke Yuxiang Guan, Vidya Sujaya, Kushal Dev, Toshali Goel, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, Kellin Pelrine

CoRR, April, 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, January, 2025

A Guide to Misinformation Detection Data and Evaluation.

Camille Thibault, Jacob-Junqi Tian, Gabrielle Péloquin-Skulski, Taylor Lynn Curtis, James Zhou, Florence Laflamme, Luke Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents.

Maximilian Puelma Touzel, 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, Kellin Pelrine

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility.

Brendan Murphy, Dillon Bowen, Shahrad Mohammadzadeh, Tom Tseng, Julius Broomfield, Adam Gleave, Kellin Pelrine

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Accessible Information Retrieval for Children With a Mild Intellectual Disability.

Ruben Weijers, Simone Ooms, Kellin Pelrine, Hanna Hauptmann

Proceedings of the Advances in Bias, Fairness, and Understudied Users in Information Retrieval, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Go AIs Be Adversarially Robust?

Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Scaling Trends for Data Poisoning in LLMs.

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

A Guide to Misinformation Detection Datasets.

Camille Thibault, Gabrielle Péloquin-Skulski, Jacob-Junqi Tian, Florence Laflamme, Luke Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, 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, Reihaneh Rabbany, Jean-François Godbout, 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

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

Scaling Laws for Data Poisoning in LLMs.

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, 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

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

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

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023

Exploiting Novel GPT-4 APIs.

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

CoRR, 2023

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

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