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University of California
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Models trained on CoVA-SFT outperform existing multimodal reasoning baselines by over 2x, revealing the potential of structured visual-textual integration in AI.
Models may give clearer instructions, but they fail to engage learners deeply, resulting in passive instruction-following rather than active understanding.
