TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models
By: Shima Imani, Seungwhan Moon, Lambert Mathias, Lu Zhang, Babak Damavandi
Published: 2025-12-08
View on arXiv →#cs.AI
Abstract
TRACE provides a framework to analyze and improve the stepwise reasoning capabilities of Vision-Language Models, crucial for developing more interpretable and robust multimodal AI systems.