collaborators

1 paper

cs.CL2025

Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results

Jonathan Liu, Haoling Qiu, Jonathan Lasko +3

Recent research has shown that hallucinations, omissions, and biases are prevalent in everyday use-cases of LLMs. However, chatbots used in medical contexts must provide consistent…