May 2, 2024, 4:47 a.m. | Jiaxin Zhang, Yashar Moshfeghi

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.00494v1 Announce Type: cross
Abstract: Addressing the challenge of automated geometry math problem-solving in artificial intelligence (AI) involves understanding multi-modal information and mathematics. Current methods struggle with accurately interpreting geometry diagrams, which hinders effective problem-solving. To tackle this issue, we present the Geometry problem sOlver with natural Language Description (GOLD) model. GOLD enhances the extraction of geometric relations by separately processing symbols and geometric primitives within the diagram. Subsequently, it converts the extracted relations into natural language descriptions, efficiently utilizing …

abstract artificial artificial intelligence arxiv automated challenge cs.ai cs.cl current diagrams geometry information intelligence issue language math mathematics modal multi-modal natural natural language problem-solving solver struggle type understanding

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