Jacob-Junqi Tian

According to our database, Jacob-Junqi Tian authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

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

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

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

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

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

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

Interpretable Stereotype Identification through Reasoning.

Jacob-Junqi Tian, Omkar Dige, David Emerson, 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

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