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VLMs can now get a million-scale boost in chart-understanding abilities thanks to a new dataset with paired code, images, data, and reasoning.
Skip reinforcement learning and still get SOTA vision-language reasoning performance with a simple loss re-weighting scheme that cuts training time by 7x.
Forget hand-annotated data: ChartGen automatically generates 222.5K chart-image/code pairs, exposing surprising weaknesses in today's VLMs at reconstructing plotting scripts.
