Argues for shifting to diagnosis-driven tension management of offline priors in online RL, supported by a framework on prior roles, experiments showing help-or-hurt reversals, and cross-domain evidence.
Adaptive capacity allocation for vision language action fine-tuning.arXiv preprint arXiv:2603.07404, 2026
2 Pith papers cite this work. Polarity classification is still indexing.
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VLA-Pro improves cross-task generalization in vision-language-action models by storing task-specific LoRA adapters as procedural memories and retrieving/fusing them at inference.
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VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models
VLA-Pro improves cross-task generalization in vision-language-action models by storing task-specific LoRA adapters as procedural memories and retrieving/fusing them at inference.