Not All Layers Need Tuning: Selective Layer Restoration Recovers Diversity
A training-free method that restores selected layers of a post-trained LLM to their pre-trained weights, recovering output diversity while preserving output quality.
Bowen Zhang
Large Language Models as Zero-Shot Human Models for Human-Robot Interaction
We explore the potential of LLMs to act as zero-shot human models for HRI. We contribute an empirical study and case studies on a simulated table-clearing task and a new robot utensil-passing experiment.