MLLMs Struggle with Spatial Reasoning in Open-World Environments
Published:Dec 22, 2025 18:58
•1 min read
•ArXiv
Analysis
This ArXiv article likely investigates the challenges Multi-Modal Large Language Models (MLLMs) face when extending spatial reasoning abilities beyond controlled indoor environments. Understanding this gap is crucial for developing MLLMs capable of navigating and understanding the complexities of the real world.
Key Takeaways
- •MLLMs exhibit limitations in spatial reasoning outside of controlled environments.
- •The article likely identifies specific weaknesses in MLLMs' ability to understand open-world spatial relationships.
- •Findings could inform future research focusing on improved spatial understanding in MLLMs.
Reference
“The study reveals a spatial reasoning gap in MLLMs.”