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

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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.

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TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models | ArXiv Intelligence