mlsanityData to 7 Oct 2026

Solving General Arithmetic Word Problems

arXiv 1608.01413 ↗First posted 4 Aug 2016cs.CLcited by 353

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Cited by 167 in LLM reasoning, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper presents a novel approach to automatically solving arithmetic word problems. This is the first algorithmic approach that can handle arithmetic problems with multiple steps and operations, without depending on additional annotations or predefined templates. We develop a theory for expression trees that can be used to represent and evaluate the target arithmetic expressions; we use it to uniquely decompose the target arithmetic problem to multiple classification problems; we then compose an expression tree, combining these with world knowledge through a constrained inference framework. Our classifiers gain from the use of em quantity schemas that supports better extraction of features. Experimental results show that our method outperforms existing systems, achieving state of the art performance on benchmark datasets of arithmetic word problems.

Key facts. Cited by 353 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Aug 2016.

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Citing papers per year: 2021: 13; 2022: 31; 2023: 84; 2024: 87; 2025: 83; 2026: 55.

353 papers.

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