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# Who cites «Mapping to Declarative Knowledge for Word Problem Solving»

45 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/roy-2018-mapping-declarative-knowledge-word-problem/)

1. [Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities](https://aclanthology.org/2026.gem-main.65/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
2. [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*
3. [Cutting Through the Noise: Boosting LLM Performance on Math Word Problems](https://md.mova.elamur.ai/free/en/docs/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/) *— our card · 2024 · arXiv:2406.15444*
4. [Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction](https://aclanthology.org/2024.findings-acl.673/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
5. [Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?](https://aclanthology.org/2024.findings-emnlp.980/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
6. [A Survey of Deep Learning for Mathematical Reasoning](https://aclanthology.org/2023.acl-long.817/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems](https://arxiv.org/abs/2310.01991) *— 2023 · arXiv:2310.01991*
8. [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*
9. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
10. [HAWP: a Dataset for Hindi Arithmetic Word Problem Solving](https://aclanthology.org/2022.lrec-1.373/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
11. [LILA: A Unified Benchmark for Mathematical Reasoning](https://aclanthology.org/2022.emnlp-main.392/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction](https://md.mova.elamur.ai/free/en/docs/papers/jie-2022-learning-reason-deductively-math-word/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem](https://aclanthology.org/2022.findings-emnlp.79/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
14. [NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks](https://aclanthology.org/2022.acl-long.246/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks](https://arxiv.org/abs/2211.12588) *— 2022 · arXiv:2211.12588*
16. [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*
17. [Are NLP Models really able to Solve Simple Math Word Problems?](https://md.mova.elamur.ai/free/en/docs/papers/patel-2021-are-nlp-models-really-able/) *— our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
18. [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*
19. [Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning](https://arxiv.org/abs/2105.04165) *— 2021 · arXiv:2105.04165*
20. [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*
21. [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)*
22. [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)*
23. [Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models](https://aclanthology.org/2021.naacl-main.99/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
24. [Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems](https://arxiv.org/abs/2111.05364) *— 2021 · arXiv 2111.05364*
25. [A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving](https://aclanthology.org/2020.emnlp-main.579/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
26. [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*
27. [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)*
28. [A Goal-Driven Tree-Structured Neural Model for Math Word Problems](https://www.ijcai.org/proceedings/2019/736) *— 2019 · IJCAI 2019*
29. [MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms](https://aclanthology.org/N19-1245/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
30. [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*
31. [Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems](https://aclanthology.org/N19-1272/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
32. [Template-Based Math Word Problem Solvers with Recursive Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/4697) *— 2019 · AAAI 2019*
33. [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)*
34. [Tree-structured Decoding for Solving Math Word Problems](https://aclanthology.org/D19-1241/) *— 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)*
35. [Neural Math Word Problem Solver with Reinforcement Learning](https://aclanthology.org/C18-1018/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
36. [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*
37. [Translating a Math Word Problem to an Expression Tree](https://arxiv.org/abs/1811.05632) *— 2018 · arXiv:1811.05632*
38. [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)*
39. er-2026-math-db-discourse-framework-mathematical
40. hu-2023-generation-based-deductive-method-math
41. liu-2023-comsearch-equation-searching-combinatorial-strategy
42. ranaldi-2025-exploring-backward-reasoning-large-language
43. shen-2022-textual-enhanced-contrastive-learning-solving
44. yigit-2024-data-augmentation-context-learning-comparative
45. zhang-2023-techniques-improve-neural-math-word
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