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PriorVLA: Prior-Preserving Adaptation for Vision-Language-Action Models

PriorVLA freezes a prior expert and trains an adaptation expert via expert queries to preserve pretrained vision-language-action priors, updating only 25% of full fine-tuning parameters while outperforming baselines on OOD and few-shot robot manipulation.

Xinyu Guo, Bin Xie, Wei Chai, Xianchi Deng and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5