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King Abdullah University of Science and Technology (KAUST)
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Black-box output posteriors across 1D image slices expose where VLMs actually look far more faithfully than internal attention—and can be read out directly to fix half of a model's visual reasoning errors.
Generative Late-Interaction Embeddings (GLIE): k<<N vectors per page learned from the normalized centroids to serve as both a lightweight index and a basis for regenerating the page's full embedding set, with the decoder as its main design surface.
Forget collapsing videos into text – this hierarchical grid lets you zoom into any moment with lossless visual fidelity, unlocking logarithmic compute scaling for long-form video understanding.