• Introducing Visualization-of-Thought (VoT), a new technique to improve spatial reasoning capabilities in LLMs by guiding them to visualize their reasoning traces.
• Applied to tasks such as natural language navigation and visual tiling, VoT has proven to exceed the performance of current multimodal LLMs.
• VoT’s approach to generating ‘mental images’ can potentially enable LLMs and MLLMs to better handle spatial reasoning challenges.

Opinion: The VoT approach marks a significant leap in replicating human-like reasoning within AI, potentially bridging the gap between AI and natural cognition. Further Application: If harnessed properly, VoT could lead to breakthroughs in AI-assisted design, autonomous vehicle navigation, and virtual reality environments.