Soft-prompt Tuning for Large Language Models to Evaluate Bias. - Jacob-Junqi Tian; David Emerson; Sevil Zanjani Miyandoab; Deval Pandya; Laleh Seyyed-Kalantari; Faiza Khan Khattak (CoRR, 2023)

Can Instruction Fine-Tuned Language Models Identify Social Bias through Prompting? - Omkar Dige; Jacob-Junqi Tian; David Emerson; Faiza Khan Khattak (CoRR, 2023)

Interpretable Stereotype Identification through Reasoning. - Jacob-Junqi Tian; Omkar Dige; David Emerson; Faiza Khan Khattak (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)

The Impact of Unstated Norms in Bias Analysis of Language Models. - Farnaz Kohankhaki; Jacob-Junqi Tian; David Emerson; Laleh Seyyed-Kalantari; Faiza Khan Khattak (CoRR, 2024)

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. - Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Jacob-Junqi Tian; John Willes; Blanka Horvath; Frank Rudzicz (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)

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)