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Siyang Xin

2 accepted papers

2026

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization

ICLR 2026poster

While foundation models (FMs), such as diffusion models and large vision-language models (LVLMs), have been widely applied in educational contexts, their ability to generate pedagogically effective visual explanations remains limited. Most existing approaches focus primarily on textual reasoning, ov…

Cited by 0SourceScholar
2026

Paper2Figure: A Multi-Agent Collaborative System for Figure Generation Towards Academic Research Paper

CVPR 2026

Automatically generating clear and accurate figures for research papers remains challenging, as it requires semantic understanding, precise structure, and visual aesthetics. Existing approaches struggle to balance fidelity and quality: large language model (LLM) code-based methods (e.g., SVG, Mermai

Cited by 0SourceScholar