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Sun Yat-sen University
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TEAMS achieves a remarkable 6.9% improvement in mDice on spinal datasets, showcasing its superior capability in medical image segmentation.
PhysEditWorld reveals that explicit control over physical parameters can transform how game world models interact with their environments, leading to more realistic and manipulable simulations.
Bridging the perception-reasoning gap in visual planning, MGSD boosts model performance by over 19% while relying solely on visual inference during deployment.
LLM external memory performance degrades as the memory grows across rounds in realistic streaming scenarios, highlighting the need for better memory management strategies.
