Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

📰 ArXiv cs.AI

Graph-of-Mark enhances multimodal language models' spatial reasoning with graph-based visual prompting

advanced Published 27 Mar 2026
Action Steps
  1. Partition the input image into object regions
  2. Annotate the regions with graph-based marks
  3. Feed the augmented image to the multimodal language model
  4. Evaluate the model's spatial reasoning capabilities
Who Needs to Know This

AI engineers and ML researchers can benefit from this approach to improve the performance of multimodal language models, especially in tasks that require spatial reasoning and visual understanding

Key Insight

💡 Graph-based visual prompting can improve the spatial reasoning capabilities of multimodal language models

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💡 Graph-of-Mark: Enhancing spatial reasoning in multimodal language models with graph-based visual prompting
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