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Author

Zijian Chen

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#artificial intelligence Preprint Oct 2026

From Pixel to Coding: Evaluating the Figure Reproduction Capabilities of MLLMs

Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in both visual understanding and code generation. However, existing benchmarks typically evaluate these two modalities in isolation, lacking a dedicated assessment of their unification, i.e., how a model can perceive complex visual struc...

Zi-Jian Chen, Zheng-Yu Chen, Bo-Han Liang et al. · 0 citations
Preprint Aug 2026

SciMIF: Understanding Multimodal Instruction Following in Scientific Domains

This work introduces SciMIF, a novel benchmark designed to evaluate the capability of MLLMs in following complex scientific instructions, and proposes a comprehensive taxonomy comprising 10 constraint groups that captures both general functional requirements and discipline-specific characteristics.

Ye Shen, Yu-Ting Zheng, Dun Pei et al. · 0 citations

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