EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content
Large language models are increasingly used as educational assistants, yet evaluation of their educational capabilities remains concentrated on question-answering and tutoring tasks. A critical gap exists for multimedia instructional content generation -- the ability to produce coherent, diagram-rich explanations that combine geometrically accurate visuals with step-by-step reasoning. We present EduIllustrate, a benchmark for evaluating LLMs on interleaved text-diagram explanation generation for K-12 STEM problems. The benchmark comprises 230 problems spanning five subjects and three grade levels, a standardized generation protocol with sequential anchoring to enforce cross-diagram visual...
| Authors | Shuzhen Bi, Mingzi Zhang, Zhuoxuan Li et al. |
|---|---|
| Primary category | cs.CY |
| Published | 6 April 2026 |
| Last updated at source | 11 April 2026 |
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