Beyond Answer Accuracy: Diagnosing Perception Failures in Multimodal Mathematical Reasoning
Multimodal Large Language Models (MLLMs) have shown strong performance on mathematical reasoning tasks that combine textual and visual information. However, final-answer accuracy offers limited insight into whether errors arise from incorrect perception, modality-dependent information extraction, or downstream reasonin...