Beyond Memorization: Testing if Finetuning Turns VLA Models into Simple Mimics

This research addresses a critical bottleneck in robotics where finetuned VLA models may lose their semantic reasoning and revert to rigid imitation. By evaluating language grounding and spatial generalization, the study provides a vital framework for ensuring that robot AI maintains its core intelligence during task specialization.