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ChartDensity-Bench: Benchmarking MLLMs for Numerical Data Reconstruction under Visual Density
Multimodal large language models (MLLMs) offer a promising approach for recovering numerical data from scientific charts, but their ability to reconstruct chart data from visually dense figures remains poorly understood. Existing chart understanding benchmarks primarily evaluate question answering o
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