A decoupled vision-language reasoning system, where a VLM writes image descriptions and an LLM reasons from them, beats end-to-end LVLMs on geometry benchmarks, especially vision-heavy variants.
R-cot: Reverse chain-of-thought problem generation for geometric reasoning in large multimodal models, 2024
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Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving
A decoupled vision-language reasoning system, where a VLM writes image descriptions and an LLM reasons from them, beats end-to-end LVLMs on geometry benchmarks, especially vision-heavy variants.