Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models

Summary:
- Visualization-of-Thought (VoT) promotes spatial reasoning by visualizing reasoning steps, akin to the human ‘mind’s eye’.
- Tested on spatially intense tasks like natural and visual navigation, resulting in superior performance over existing multimodal LLMs.
- Enables LLMs to ‘imagine’ or construct mental images, facilitating spatial reasoning and navigation.
- VoT’s success in LLMs suggests it might also enhance the spatial reasoning in multimodal LLMs.
Opinion:
Enabling LLMs to mimic human spatial cognition is a remarkable step, potentially revolutionizing tasks that require environmental understanding and interaction, like robotics and virtual assistants.
Further research:
- Application to 3D environments
- Integration with sensorimotor systems in robotics
- Development of LLMs with inherent spatial cognition
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