Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency

In three linesSAGE, a self-evolving framework, improves spatial reasoning in VLMs by enforcing logical consistency through geometric and linguistic duality operations. Applied as a lightweight GRPO post-training stage, it corrects inconsistencies under predictable transformations and shows gains on video and spatial reasoning benchmarks.

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