[R] Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models

**Paper**: [https://arxiv.org/abs/2404.03622](https://arxiv.org/abs/2404.03622)

**Abstract**:

>Large language models (LLMs) have exhibited impressive performance in language comprehension and various reasoning tasks. However, their abilities in spatial reasoning, a crucial aspect of human cognition, remain relatively unexplored. Human possess a remarkable ability to create mental images of unseen objects and actions through a process known as **the Mind's Eye**, enabling the imagination of the unseen world. Inspired by this cognitive capacity, we propose **Visualization-of-Thought** (**VoT**) prompting. VoT aims to elicit spatial reasoning of LLMs …

abstract cognition create enabling however human images imagination language language models large language large language models llms machinelearning mind objects performance process reasoning spatial tasks through world