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University of California
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Reading barely 20% of the KV cache is enough to match up to 99% of dense attention accuracy at 32K context, yielding an immediate 1.69× speedup over FlashAttention without any retraining.
Models trained on CoVA-SFT outperform existing multimodal reasoning baselines by over 2x, revealing the potential of structured visual-textual integration in AI.