Summary of Gold: Geometry Problem Solver with Natural Language Description, by Jiaxin Zhang et al.
GOLD: Geometry Problem Solver with Natural Language Description
by Jiaxin Zhang, Yashar Moshfeghi
First submitted to arxiv on: 1 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This AI research paper presents a novel approach to solving geometry math problems using artificial intelligence (AI). The authors propose the GOLD model, which enhances the extraction of geometric relations within diagrams by separately processing symbols and primitives. This information is then converted into natural language descriptions, allowing large language models to efficiently solve geometry math problems. The experiments demonstrate that the GOLD model outperforms previous methods on multiple datasets, achieving significant accuracy improvements in calculation and proving subsets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This AI research paper helps computers solve math problems about shapes and geometry. Right now, computers struggle to understand diagrams of shapes and solve related math problems. To fix this, the authors created a new model called GOLD that can better understand these diagrams. GOLD takes information from the diagram and turns it into language that computers can use to solve the problem. The results show that GOLD is much better than previous methods at solving geometry math problems on different datasets. |
