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# Who cites «Learning To Use Formulas To Solve Simple Arithmetic Problems»

51 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/mitra-2016-learning-use-formulas-solve-simple/)

1. [Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models](https://aclanthology.org/2025.findings-acl.586/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
2. [Instructing Large Language Models to Identify and Ignore Irrelevant Conditions](https://aclanthology.org/2024.naacl-long.379/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
3. [It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset](https://aclanthology.org/2023.emnlp-main.927/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
4. [Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation](https://aclanthology.org/2023.emnlp-main.889/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
5. [Math Word Problem Solving by Generating Linguistic Variants of Problem Statements](https://aclanthology.org/2023.acl-srw.49/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
6. [Non-Autoregressive Math Word Problem Solver with Unified Tree Structure](https://aclanthology.org/2023.emnlp-main.199/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
7. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [ArMATH: a Dataset for Solving Arabic Math Word Problems](https://aclanthology.org/2022.lrec-1.37/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
9. [Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers](https://arxiv.org/abs/2205.15683) *— 2022 · arXiv 2205.15683*
10. [Generate & Rank: A Multi-task Framework for Math Word Problems](https://aclanthology.org/2021.findings-emnlp.195/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
11. [Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning](https://aclanthology.org/2021.emnlp-main.272/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
12. [Learning by Fixing: Solving Math Word Problems with Weak Supervision](https://arxiv.org/abs/2012.10582) *— 2021 · AAAI 2021 (arXiv 2012.10582)*
13. [Math Word Problem Solving with Explicit Numerical Values](https://aclanthology.org/2021.acl-long.455/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
14. [NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset](https://aclanthology.org/2021.findings-emnlp.350/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
15. [Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks](https://aclanthology.org/2021.acl-long.456/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
16. [Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving](https://aclanthology.org/2021.acl-short.121/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
17. [TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance](https://aclanthology.org/2021.acl-long.254/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
18. [Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems](https://arxiv.org/abs/2111.05364) *— 2021 · arXiv 2111.05364*
19. [Graph-to-Tree Learning for Solving Math Word Problems](https://aclanthology.org/2020.acl-main.362/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems](https://aclanthology.org/2020.emnlp-main.309/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
21. [Solving Math Word Problems with Multi-Encoders and Multi-Decoders](https://aclanthology.org/2020.coling-main.262/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
22. [A Goal-Driven Tree-Structured Neural Model for Math Word Problems](https://www.ijcai.org/proceedings/2019/736) *— 2019 · IJCAI 2019*
23. [EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/) *— our card · 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
24. [Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions](https://aclanthology.org/P19-1619/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
25. [Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems](https://aclanthology.org/P19-1517/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
26. [SemEval-2019 Task 10: Math Question Answering](https://aclanthology.org/S19-2153/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
27. [Template-Based Math Word Problem Solvers with Recursive Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/4697) *— 2019 · AAAI 2019*
28. [Text2Math: End-to-end Parsing Text into Math Expressions](https://aclanthology.org/D19-1536/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
29. [The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers](https://arxiv.org/abs/1808.07290) *— 2019 · IEEE TPAMI 42(9), 2020 (arXiv 1808.07290)*
30. [A Meaning-Based Statistical English Math Word Problem Solver](https://aclanthology.org/N18-1060/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
31. [Mapping to Declarative Knowledge for Word Problem Solving](https://md.mova.elamur.ai/free/en/docs/papers/roy-2018-mapping-declarative-knowledge-word-problem/) *— our card · 2018*
32. [MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/11981) *— 2018 · AAAI 2018*
33. [Neural Math Word Problem Solver with Reinforcement Learning](https://aclanthology.org/C18-1018/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
34. [Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers](https://aclanthology.org/P18-1196/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Translating a Math Word Problem to a Expression Tree](https://aclanthology.org/D18-1132/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
36. [Translating a Math Word Problem to an Expression Tree](https://arxiv.org/abs/1811.05632) *— 2018 · arXiv:1811.05632*
37. [Using Intermediate Representations to Solve Math Word Problems](https://aclanthology.org/P18-1039/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Coreference Resolution on Math Problem Text in Japanese](https://aclanthology.org/I17-2063/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
39. [Deep Neural Network based system for solving Arithmetic Word problems](https://aclanthology.org/I17-3017/) *— 2017 · Proceedings of the IJCNLP 2017, System Demonstrations*
40. [Deep Neural Solver for Math Word Problems](https://aclanthology.org/D17-1088/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
41. [Learning Fine-Grained Expressions to Solve Math Word Problems](https://aclanthology.org/D17-1084/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
42. [Semantic Parsing of Pre-university Math Problems](https://aclanthology.org/P17-1195/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. dinu-2020-joint-translation-unit-conversion-end
44. griffith-2020-solving-arithmetic-word-problems-transformer
45. kim-2023-athena-mathematical-reasoning-thought-expansion
46. liu-2019-aifu-semeval-2019-task-10
47. mandal-2017-natural-language-programing-automatic-code
48. mishra-2018-equgener-reasoning-network-word-problem
49. sundaram-2017-reasoning-sets-solve-simple-word
50. yigit-2024-data-augmentation-context-learning-comparative
51. zhang-2023-techniques-improve-neural-math-word
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