Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction 事件

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction arXiv:2602.23312v3 Announce Type: replace-cross Abstract: Leader-follower interaction is an important paradigm in human-robot interaction (HRI). Yet, assigning roles in real time remains challenging for resource-constrained mobile and assistive robots. While large language models (LLMs) have shown promise for natural communication, their size and latency limit on-device deployment. Small languag