QA-VLM: Providing human-interpretable quality assessment for wire-feed laser additive manufacturing parts with vision language models

Qiaojie Zheng, Jiucai Zhang, Joy Gockel, Michael B. Wakin, Craig Brice, and Payne Institute Faculty Fellow Xiaoli Zhang research introducea a novel QA-VLM framework that leverages the attention mechanisms and reasoning capabilities of vision-language models (VLMs), enriched with application-specific knowledge distilled from peer-reviewed journal articles, to generate human-interpretable quality assessments.  February 28, 2026.