89%Must read
?Must readVote to see the score

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.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
16/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5