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# Who cites «Solving General Arithmetic Word Problems» · page 3

313 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-2015-solving-general-arithmetic-word-problems/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/roy-2015-solving-general-arithmetic-word-problems-4/)

1. [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)*
2. [Representing Numbers in NLP: a Survey and a Vision](https://aclanthology.org/2021.naacl-main.53/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [Training Verifiers to Solve Math Word Problems](https://arxiv.org/abs/2110.14168) *— 2021 · arXiv:2110.14168*
4. [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*
5. [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)*
6. [An Empirical Investigation of Contextualized Number Prediction](https://aclanthology.org/2020.emnlp-main.385/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
7. [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*
8. [Injecting Numerical Reasoning Skills into Language Models](https://aclanthology.org/2020.acl-main.89/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [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)*
10. [Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension](https://aclanthology.org/D19-1609/) *— 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)*
11. [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*
12. [NumNet: Machine Reading Comprehension with Numerical Reasoning](https://aclanthology.org/D19-1251/) *— 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)*
13. [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*
14. [SemEval-2019 Task 10: Math Question Answering](https://aclanthology.org/S19-2153/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
15. [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)*
16. [Template-Based Math Word Problem Solvers with Recursive Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/4697) *— 2019 · AAAI 2019*
17. [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)*
18. [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)*
19. [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)*
20. [Where's My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution](https://aclanthology.org/Q19-1030/) *— 2019 · Transactions of the Association for Computational Linguistics*
21. [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)*
22. [Data-Driven Methods for Solving Algebra Word Problems](https://arxiv.org/abs/1804.10718) *— 2018 · arXiv 1804.10718*
23. [DeepProbLog: Neural Probabilistic Logic Programming](https://arxiv.org/abs/1805.10872) *— 2018 · arXiv:1805.10872*
24. [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*
25. [MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/11981) *— 2018 · AAAI 2018*
26. [Neural Math Word Problem Solver with Reinforcement Learning](https://aclanthology.org/C18-1018/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
27. [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)*
28. [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*
29. [Translating a Math Word Problem to an Expression Tree](https://arxiv.org/abs/1811.05632) *— 2018 · arXiv:1811.05632*
30. [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)*
31. [Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems](https://aclanthology.org/E17-1047/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
32. [Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers](https://aclanthology.org/D17-1083/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
33. [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*
34. [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*
35. [Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks](https://aclanthology.org/S17-1029/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
36. [Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems](https://aclanthology.org/P17-1015/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [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)*
38. [A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation](https://aclanthology.org/C16-2032/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations*
39. [How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation](https://aclanthology.org/P16-1084/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Learning To Use Formulas To Solve Simple Arithmetic Problems](https://md.mova.elamur.ai/free/en/docs/papers/mitra-2016-learning-use-formulas-solve-simple/) *— our card · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems](https://aclanthology.org/D16-1029/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
42. [Programming with a Differentiable Forth Interpreter](https://arxiv.org/abs/1605.06640) *— 2016 · arXiv:1605.06640*
43. [Parsing Algebraic Word Problems into Equations](https://aclanthology.org/Q15-1042/) *— 2015*
44. abdaljalil-2025-audit-understanding-posterior-constrained-inference
45. agarwal-2025-step-step-unmasking-parameter-efficient
46. ahmed-2025-bennumeval-benchmark-assess-llms-numerical
47. alavi-2026-more-agents-improve-math-problem
48. alazraki-2026-agentcoma-compositional-benchmark-mixing-commonsense
49. alenezi-2026-llm-prompting-techniques-arabic-language
50. ariyani-2024-can-language-models-learn-embeddings
51. boateng-2025-concept-distillation-strong-weak-models
52. bouchard-2016-learning-generate-textual-data
53. cang-2026-graph-grpo-stabilizing-multi-agent
54. cao-2025-evaluating-frontier-llms-phd-level
55. cao-2026-comol-efficient-mixture-lora-experts
56. cao-2026-moa-heterogeneous-mixture-adapters-parameter
57. cha-2022-noun-mwp-math-word-problems
58. chen-2024-s3prompt-instructing-model-self-calibration
59. chen-2026-dynamic-pmi-guided-contrastive-decoding
60. cheng-2023-analyzing-chatgpt-s-mathematical-deficiencies
61. chu-2024-navigate-through-enigmatic-labyrinth-survey
62. chu-2025-faithful-multi-step-reasoning-through
63. criado-2026-benchmarking-mathematical-reasoning-low-resource
64. farajidizaji-2026-task-competence-instruction-following-evaluating
65. feng-2025-comoe-contrastive-representation-mixture-experts
66. gangwar-2026-integrating-arithmetic-learning-improves-mathematical
67. gou-2025-mitigating-demonstration-bias-through-global
68. griffith-2020-solving-arithmetic-word-problems-transformer
69. griot-2026-compress-distill-reasoning-trace-compression
70. gu-2024-bottom-top-extending-potential-parameter
71. han-2024-prompt-engineering-101-prompt-engineering
72. jain-2025-local-prompt-optimization
73. kim-2022-ept-x-expression-pointer-transformer
74. kim-2025-ccqa-generating-question-solution-can
75. kong-2024-better-zero-shot-reasoning-role
76. kong-2026-inference-time-rethinking-latent-thought
77. kowsher-2025-predicting-through-generation-why-generation
78. lee-2025-automatic-mathematic-context-example-generation
79. lee-2025-gemmas-graph-based-evaluation-metrics
80. lee-2026-cirf-tokenizing-chain-thoughts-reusable
81. li-2025-loracoe-improving-large-language-model
82. li-2026-pin-once-swap-light-subspace
83. liu-2023-comsearch-equation-searching-combinatorial-strategy
84. liu-2024-mathbench-evaluating-theory-application-proficiency
85. liu-2024-trustworthiness-self-awareness-large-language
86. liu-2025-adadhp-fine-grained-fine-tuning
87. liu-2026-adaptive-prompt-structure-factorization-framework
88. liu-2026-parameter-efficient-routed-fine-tuning
89. luo-2019-problemsolver-semeval-2019-task-10
90. mandal-2017-natural-language-programing-automatic-code
91. miao-2016-building-corpus-developing-chinese-elementary
92. mishra-2018-equgener-reasoning-network-word-problem
93. morozov-2025-fast-thinking-structured-prompts-enabling
94. mu-2024-ddprompt-differential-diversity-prompting-large
95. ranaldi-2025-exploring-backward-reasoning-large-language
96. sengupta-2026-images-words-efficient-cross-modal
97. shen-2022-textual-enhanced-contrastive-learning-solving
98. shi-2020-recurrent-inference-text-editing
99. sun-2024-adaswitch-adaptive-switching-between-small
100. tan-2025-teaching-inspired-integrated-prompting-framework

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