MILE: Memory-Interactive Learning Engine for Neuro-Symbolic Solutions to Mathematical Problems
Mathematical problem solving is a task that examines the capacity of machine learning systems to perform quantitative and logical reasoning. Existing work employed formulas as intermediate labels in this task to implement a neuro-symbolic approach and achieved remarkable performance. However, we are...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10680497/ |
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