Author

Zekai Shao

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Preprint Aug 2026

ChartAnno: Benchmarking Multimodal Large Language Models for Chart Annotation Generation

This work introduces ChartAnno, a comprehensive benchmark for evaluating MLLMs on chart annotation generation, and develops a multidimensional evaluation framework combining rule-based and LLM-judged metrics to assess execution, structural compliance, semantic consistency, and design effectiveness.

Zhenghan Chen, Zekai Shao, Lidan Tan et al. · 0 citations

#natural language process... Preprint Aug 2026

ChartAnno: Evaluating MLLMs for Chart Annotation Generation

Multimodal large language models (MLLMs) have made significant progress in chart understanding, generation, and editing, but their ability to annotate existing charts remains underexplored. Annotating charts is a common yet challenging communicative task, requiring models to infer intended messages, interpret chart sem...

Zhenghan Chen, Zekai Shao, Lidan Tan et al. · 0 citations

#natural language process... Preprint Aug 2026

DVBench: Benchmarking MLLMs for Understanding Dynamic Charts and Narratives in Data Videos

DVBench is introduced, a benchmark for evaluating MLLMs on data videos, a storytelling medium that integrates dynamic charts with structured narratives, and decompose data video understanding into five dimensions, identifying two notable phenomena.

Bomiao Wang, Zekai Shao, Jiexiang Lan et al. · 0 citations