3 papers
cs.CL2026
Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records
Brian E. Perron, Dragan Stoll, Bryan G. Victor +3
Background: Recent studies have demonstrated that large language models (LLMs) can perform binary classification tasks on child welfare narratives, detecting the presence or absenc…
cs.CY2026
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…
cs.CY2026
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…