4 papers
Developmental trajectories of decision making and affective dynamics in large language models
Zhihao Wang, Yiyang Liu, Ting Wang +1
Large language models (LLMs) are increasingly used in medicine and clinical workflows, yet we know little about their decision and affective profiles. Taking a historically informe…
New Exam Security Questions in the AI Era: Comparing AI-Generated Item Similarity Between Naive and Detail-Guided Prompting Approaches
Ting Wang, Caroline Prendergast, Susan Lottridge
Large language models (LLMs) have emerged as powerful tools for generating domain-specific multiple-choice questions (MCQs), offering efficiency gains for certification boards but…
Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT
Yiwen Lu, Lu Li, Dazheng Zhang +20
Sample size calculations for power analysis are critical for clinical research and trial design, yet their complexity and reliance on statistical expertise create barriers for many…
Blueprinting the Future: Automatic Item Categorization using Hierarchical Zero-Shot and Few-Shot Classifiers
Ting Wang, Keith Stelter, Jenn Floyd +5
In testing industry, precise item categorization is pivotal to align exam questions with the designated content domains outlined in the assessment blueprint. Traditional methods ei…