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cs.CV2026
Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education
Junling Wang, Boqi Chen, Heejin Do +3
AI systems are increasingly used to support educational content creation, yet it remains unclear whether they can generate outputs that faithfully represent the pedagogical concept…
cs.CV2026
Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation
Ajay Vikram Periasami, Junlin Wang, Bhuwan Dhingra
We study whether vision-language models (VLMs) can reconstruct structured, graphics-based images by writing executable code to generate them. Existing benchmarks on image-to-code g…