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LingBot-VA 2.0 achieves few-shot generalization in complex robot manipulation tasks, outperforming traditional video generative models.
TRCGL-Net achieves a remarkable tail-class mAP of 0.4904, setting a new benchmark for rare disease recognition in chest X-ray classification.
ThinkingVLA achieves a breakthrough in robotic manipulation by seamlessly interleaving visual and textual reasoning, leading to superior performance in long-horizon tasks.
Semantic visual-action tokenization in RepWAM significantly enhances robotic manipulation performance, outperforming traditional reconstruction-based approaches.
