Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners

Leo Y. Lin, Mikhail Kuznetsov, Muslum Ozgur Ozmen +1

Embodied vision-language models (VLMs) are increasingly deployed as high-level planners for robots because they generalize across diverse environments. However, this requires their…