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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.
Achieve state-of-the-art 6D object pose estimation with 43x speedup by combining mask-aware pose proposals with amodal-driven refinement.
A new point cloud representation and attention mechanism unlocks state-of-the-art in-hospital mortality prediction from messy, incomplete real-world EHR data.
