June-sup Yi

Breaking the Resource Barrier: Parameter-Efficient Hierarchical VLA Fine-Tuning via Single-View Semantic Reasoning

As Vision-Language-Action (VLA) models continue to scale in the number of parameters, the computational cost and resource requirements for domain-specific fine-tuning have become significant barriers to practical robotic deployment. While Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRA (Low-Rank Adaptation)...