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New York University
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A unified framework reveals how different 3D data representations and learning paradigms interact, paving the way for more efficient and effective applications in 3D vision.
MiniMax-M2 proves that massive parameter counts don't always translate to better agentic performance; strategic activation of a smaller subset can unlock frontier-level intelligence.
