#artificial intelligence
Jun 2026
FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
FiberTune is proposed, a training-time objective that preserves teacher-structured visual residuals without adding inference-time overhead and improves over task-loss-only fine-tuning in every one of six controlled simulation settings spanning two benchmarks and two architectures.
Haihao Lin, Xiang-Sheng Huang, Xiao Yang et al.
· arXiv.org · 2 citations