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Paper · arXiv

ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts

Charts are central to analytical reasoning, yet existing benchmarks for chart understanding focus almost exclusively on single-chart interpretation rather than comparative reasoning across multiple charts. To address this gap, we introduce ChartDiff, the first large-scale benchmark for cross-chart comparative summarization. ChartDiff consists of 8,541 chart pairs spanning diverse data sources, chart types, and visual styles, each annotated with LLM-generated and human-verified summaries describing differences in trends, fluctuations, and anomalies. Using ChartDiff, we evaluate general-purpose, chart-specialized, and pipeline-based models. Our results show that frontier general-purpose mod...

AuthorsRongtian Ye
Primary categorycs.AI
Published30 March 2026
Last updated at source11 May 2026
cs.AI
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