research
New framework improves VLM spatial reasoning through minimal information selection
A new research paper introduces MSSR (Minimal Sufficient Spatial Reasoner), a dual-agent framework that improves Vision-Language Models' ability to reason about 3D spatial relationships. The method addresses two key bottlenecks: inadequate 3D understanding from 2D-centric training and reasoning failures from redundant information.