MotionGPT treats human motion as a foreign language and uses an LLM backbone to learn the semantic coupling between motion and text modalities. The model unifies multiple motion generation tasks including text-to-motion, motion captioning, and motion问答 into a single framework. It was published at NeurIPS 2023.