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Author

Heaju Kim

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Preprint Aug 2026

LongChart VQA: A Comprehensive Benchmark for MLLMs with Complex Multi-Chart Reasoning

This work evaluates 10 state-of-the-art MLLMs and examines three factors that influence performance: reasoning patterns, auxiliary tools, and robustness to image perturbations, showing that MLLM accuracy decreases and varies substantially as computational complexity increases.

Ziyan Xiao, Yinghao Zhu, Wenting Zhang et al. · 0 citations

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