---
title: "Who cites Unit Dependency Graph and its Application to…"
description: "The papers of the Elamur Research library that cite «Unit Dependency Graph and its Application to Arithmetic Word Problem Solving», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/roy-2017-unit-dependency-graph-arithmetic/cited-by/"
---
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# Who cites «Unit Dependency Graph and its Application to Arithmetic Word Problem Solving»

40 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/roy-2017-unit-dependency-graph-arithmetic/)

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. [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)*
3. [ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision](https://aclanthology.org/2023.eacl-main.186/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
4. [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*
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. [Solving Math Word Problems via Cooperative Reasoning induced Language Models](https://aclanthology.org/2023.acl-long.245/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Unleashing the potential of prompt engineering for large language models](https://arxiv.org/abs/2310.14735) *— 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)*
8. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning](https://arxiv.org/abs/2209.14610) *— 2022 · arXiv:2209.14610*
10. [EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers](https://aclanthology.org/2022.acl-long.305/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
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. [Math Word Problem Generation with Multilingual Language Models](https://aclanthology.org/2022.inlg-main.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
13. [Noun-MWP: Math Word Problems Meet Noun Answers](https://aclanthology.org/2022.coling-1.338/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
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. [Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations](https://aclanthology.org/2022.bea-1.14/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
16. [Textual Enhanced Contrastive Learning for Solving Math Word Problems](https://aclanthology.org/2022.findings-emnlp.316/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
17. [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*
18. [A Bottom-Up DAG Structure Extraction Model for Math Word Problems](https://ojs.aaai.org/index.php/AAAI/article/view/16075) *— 2021 · AAAI 2021*
19. [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*
20. [Learning by Fixing: Solving Math Word Problems with Weak Supervision](https://arxiv.org/abs/2012.10582) *— 2021 · AAAI 2021 (arXiv 2012.10582)*
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. [Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems](https://arxiv.org/abs/2111.05364) *— 2021 · arXiv 2111.05364*
23. [A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers](https://aclanthology.org/2020.acl-main.92/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model](https://aclanthology.org/2020.emnlp-main.308/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
25. [Solving Arithmetic Word Problems Using Transformer and Pre-processing of Problem Texts](https://aclanthology.org/2020.icon-main.10/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)*
26. [A Goal-Driven Tree-Structured Neural Model for Math Word Problems](https://www.ijcai.org/proceedings/2019/736) *— 2019 · IJCAI 2019*
27. [AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering](https://aclanthology.org/S19-2154/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
28. [ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees](https://aclanthology.org/S19-2227/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
29. [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*
30. [SemEval-2019 Task 10: Math Question Answering](https://aclanthology.org/S19-2153/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
31. [Template-Based Math Word Problem Solvers with Recursive Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/4697) *— 2019 · AAAI 2019*
32. [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)*
33. [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)*
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. [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)*
36. [Data-Driven Methods for Solving Algebra Word Problems](https://arxiv.org/abs/1804.10718) *— 2018 · arXiv 1804.10718*
37. [Mapping to Declarative Knowledge for Word Problem Solving](https://md.research.elamur.ai/free/en/papers/roy-2018-mapping-declarative-knowledge-word-problem/) *— our card · 2018*
38. [MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/11981) *— 2018 · AAAI 2018*
39. [Neural Math Word Problem Solver with Reinforcement Learning](https://aclanthology.org/C18-1018/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
40. [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)*