6 citations · 6 across the 2 of their papers we have counts for
2 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★ 6 cited
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…