13 citations · 23 across the 7 of their papers we have counts for
4 papers · 1 filter
Reasoning Language Models for complex assessments tasks: Evaluating parental cooperation from child protection case reports
Dragan Stoll, Brian E. Perron, Zia Qi +3
Purpose: Reasoning language models (RLMs) have demonstrated significant advances in solving complex reasoning tasks. We examined their potential to assess parental cooperation duri…
Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research
Zia Qi, Brian E. Perron, Bryan G. Victor +2
Objective: This study develops a systematic benchmarking framework for testing whether language models can accurately identify constructs of interest in child welfare records. The…
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)
Brian E. Perron, Lauri Goldkind, Zia Qi +1
This paper examines the responsible integration of artificial intelligence (AI) in human services organizations (HSOs), proposing a nuanced framework for evaluating AI applications…
AI and Cultural Context: An Empirical Investigation of Large Language Models' Performance on Chinese Social Work Professional Standards
Zia Qi, Brian E. Perron, Miao Wang +3
Objective: This study examines how well leading Chinese and Western large language models understand and apply Chinese social work principles, focusing on their foundational knowle…