Jacob-Junqi Tian

According to our database, Jacob-Junqi Tian authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

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