Heterogeneous Layout-Aware Cross-Modal Knowledge Point Classification for Exam Questions

With the continuous emergence of exam question types, accurate classification of knowledge points is crucial for intelligent exam analysis. Existing methods focus on text or text–image fusion but largely ignore spatial layout. To address this limitation, we propose a heterogeneous layout-aware cross...

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Autors principals:	Zhushun Su, Bi Zeng, Pengfei Wei, Keyun Wang, Zhentao Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-04-01
Col·lecció:	Computation
Matèries:	knowledge point classification heterogeneous layout cross-modal fusion educational data mining exam question analysis
Accés en línia:	https://www.mdpi.com/2079-3197/14/4/82
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