arXiv cs.CLPaper
From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning
The key insight is symbolic intermediation: converting vision to structured representation lets smaller, cheaper models compete with LMMs on spatial reasoning. If you're building geometry solvers or domain-specific reasoning systems, this argues for explicit symbolic pipelines over end-to-end multimodal approaches. The tradeoff is interpretability and cost versus generality.