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HandTouch outperforms existing tactile encoders, achieving an 85.23% Recall@5 in similarity retrieval鈥攁n improvement of over 10%鈥攄emonstrating the power of combining egocentric vision with tactile data.
UniDexTok slashes reconstruction errors by over 98% for dexterous hands, achieving unprecedented accuracy without relying on retargeting.
Endowing VLMs with intrinsic 3D geometric awareness and physical interaction cues via XEmbodied substantially boosts performance on spatial reasoning and embodied tasks, surpassing existing 2D image-text pretrained models.
Current multimodal LLMs struggle with guideline-constrained clinical reasoning, but a simple multi-agent framework can significantly boost their performance on real-world lung cancer diagnosis and treatment.
