Unverified50% confidenceFactExact time
The researchers propose Visual Token Routing (VTR), a joint training framework for learning sparse visual representations that retain only the information needed for action prediction.
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11/5/2026
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UnverifiedVTR requires only 2000 training steps to achieve performance comparable to full-resolution models on OSWorld, CUA-World and video game action prediction tasks, while using 2.5 to 5.8 times fewer visual tokens.72% similarUnverifiedVITAL (Vision-Induced Tokens for Action Learning) is an autonomous driving action learning framework that makes visual motion the primary target of action prediction and uses a compact residual branch to handle precision correction.70% similarVerifiedVLA models unify visual perception, language understanding, and action generation within a single model framework, and their training is highly dependent on large-scale, high-quality human manipulation demonstration data.69% similarUnverified微调VLA模型时通常采用分层学习率策略：视觉编码器使用极小学习率或冻结，语言模型层使用中等学习率，动作专家使用较大学习率69% similarUnverifiedVITAL's core contribution lies in reorganizing the representational structure of action learning: first making visual motion the prediction target, then using residuals to make up the precision gap, rather than first defining a trajectory space and then fitting it.68% similar
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