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VLA-Retain: Benchmarking Cross-Dimension Effects of Vision Tuning in VLAs
Vision-language-action (VLA) models transfer knowledge from large-scale pretraining into robot control, but their manipulation performance remains sensitive to changes in observation conditions, which recent work addresses by fine-tuning the visual module on target-domain data. However, it remains u
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