AINeutralarXiv – CS AI · 7h ago6/10
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Visual Graph Scaffolds for Structural Reasoning in Large Language Models
Researchers demonstrate that visual graph structures serve as more effective reasoning scaffolds for large language models than text-based representations, particularly when abstract guidance is provided without direct answer hints. The findings suggest graphs should be leveraged not merely as external knowledge sources but as internal organizational tools that meaningfully improve both reasoning efficiency and answer quality in multi-hop question-answering tasks.