2 papers
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…
cs.LG2024
Using i-vectors for subject-independent cross-session EEG transfer learning
Jonathan Lasko, Jeff Ma, Mike Nicoletti +3
Cognitive load classification is the task of automatically determining an individual's utilization of working memory resources during performance of a task based on physiologic mea…