5 papers
StabilityBench: Benchmarking Instability in LLMs
Emma Kondrup, Zachary Yang, Anne Imouza +1
AI Assistants are increasingly deployed in high-stakes settings, such as healthcare or government services. Yet their real-world behavior remains poorly understood due to strong co…
Dr. Bias: Social Disparities in AI-Powered Medical Guidance
Emma Kondrup, Anne Imouza
With the rapid progress of Large Language Models (LLMs), the general public now has easy and affordable access to applications capable of answering most health-related questions in…
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 +6
Public health measures were among the most polarizing topics debated online during the COVID-19 pandemic. Much of the discussion surrounded specific events, such as when and which…
Uncertainty Resolution in Misinformation Detection
Yury Orlovskiy, Camille Thibault, Anne Imouza +3
Misinformation poses a variety of risks, such as undermining public trust and distorting factual discourse. Large Language Models (LLMs) like GPT-4 have been shown effective in mit…
Party Prediction for Twitter
Kellin Pelrine, Anne Imouza, Zachary Yang +8
A large number of studies on social media compare the behaviour of users from different political parties. As a basic step, they employ a predictive model for inferring their polit…