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Current VLMs struggle to extract meaningful time-series data from charts, achieving only 52% accuracy on a new benchmark of real-world epidemic curves, despite near-perfect scores on existing benchmarks.
Extracting data from charts just got a whole lot better: a simple self-ensembling technique boosts VLM accuracy by up to 23% on complex charts.