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JEPA-WAM achieves a remarkable 79.2% on LIBERO-Plus without large-scale pretraining, setting a new benchmark for efficient robot control.
Fine-tuning a general grounding model on a newly constructed dataset boosts medical localization accuracy from 10.64 to 85.59, showcasing the power of domain-specific supervision.
GeoLens outperforms traditional single-tool approaches by effectively integrating multiple visual reasoning tools, achieving superior accuracy and efficiency in complex remote sensing tasks.
Reducing inter-view redundancy, PointSplat achieves superior 3D human representation quality while minimizing computational load.
Current spreadsheet agents are failing to meet the demands of real-world business workflows, with the best models achieving less than 35% accuracy on complex tasks.
ZR-0 achieves seamless cross-embodiment transfer in robotic manipulation by aligning high-level cognitive processes through innovative ECoT supervision.
