item-difficulty-prediction

This paper investigates how visual evidence should be represented for predicting item difficulty in mathematics assessments, comparing text-only, visual textualization, and image-native modeling with LLMs and VLMs. It finds image-native modeling is a competitive alternative to textualization, with performance depending on VLM adaptation.