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Current MLLMs struggle with long-term memory, achieving only 71.8% accuracy on a benchmark where humans score 94.2%.
Radically improve streaming 3D reconstruction by intelligently merging moderately important tokens instead of simply evicting them, leading to state-of-the-art accuracy.
