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home / docs / papers / cited-by / Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization» · page 2

Who cites «Learning to Solve Arithmetic Word Problems with Verb Categorization» · page 2

222 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3

  1. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving — 2023 · arXiv:2309.17452
  2. Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration — 2023 · arXiv:2311.08152
  3. UniMath: A Foundational and Multimodal Mathematical Reasoner — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  4. Unleashing the potential of prompt engineering for large language models — 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)
  5. World Models for Math Story Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  6. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  7. ArMATH: a Dataset for Solving Arabic Math Word Problems — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  8. Automatic Generation of Socratic Subquestions for Teaching Math Word Problems — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  9. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
  10. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models — 2022 · arXiv:2201.11903
  11. Generating Sequences by Learning to Self-Correct — 2022 · arXiv:2211.00053
  12. HAWP: a Dataset for Hindi Arithmetic Word Problem Solving — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  13. Investigating Math Word Problems using Pretrained Multilingual Language Models — 2022 · Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP)
  14. LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  15. Large language models are zero-shot reasoners — 2022
  16. NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  17. Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  18. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks — 2022 · arXiv:2211.12588
  19. Reasoning with Language Model Prompting: A Survey — 2022 · arXiv:2212.09597
  20. Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  21. Self-Consistency Improves Chain of Thought Reasoning in Language Models — 2022 · arXiv:2203.11171
  22. Solving Quantitative Reasoning Problems with Language Models — 2022 · arXiv:2206.14858
  23. Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers — 2022 · arXiv 2205.15683
  24. Generate & Rank: A Multi-task Framework for Math Word Problems — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  25. Mapping probability word problems to executable representations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  26. Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems — 2021 · arXiv 2111.05364
  28. A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  29. Graph-to-Tree Learning for Solving Math Word Problems — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  30. Injecting Numerical Reasoning Skills into Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  31. Solving Math Word Problems with Multi-Encoders and Multi-Decoders — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  32. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs — our card · 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)
  33. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference — our card · 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  34. NumNet: Machine Reading Comprehension with Numerical Reasoning — 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. Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  36. SemEval-2019 Task 10: Math Question Answering — 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation
  37. Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems — 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)
  38. Template-Based Math Word Problem Solvers with Recursive Neural Networks — 2019 · AAAI 2019
  39. Text2Math: End-to-end Parsing Text into Math Expressions — 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)
  40. The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers — 2019 · IEEE TPAMI 42(9), 2020 (arXiv 1808.07290)
  41. Towards Generating Math Word Problems from Equations and Topics — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  42. Tree-structured Decoding for Solving Math Word Problems — 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)
  43. A Meaning-Based Statistical English Math Word Problem Solver — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  44. Data-Driven Methods for Solving Algebra Word Problems — 2018 · arXiv 1804.10718
  45. Mapping to Declarative Knowledge for Word Problem Solving — our card · 2018
  46. MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning — 2018 · AAAI 2018
  47. Neural Math Word Problem Solver with Reinforcement Learning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  48. Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
  50. Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  51. Deep Neural Network based system for solving Arithmetic Word problems — 2017 · Proceedings of the IJCNLP 2017, System Demonstrations
  52. Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. Semantic Parsing of Pre-university Math Problems — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
  55. A Tag-based English Math Word Problem Solver with Understanding, Reasoning and Explanation — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
  56. A Theme-Rewriting Approach for Generating Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  57. How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  58. Illinois Math Solver: Math Reasoning on the Web — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
  59. Learning To Use Formulas To Solve Simple Arithmetic Problems — our card · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  61. MAWPS: A Math Word Problem Repository — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  62. SQuAD: 100,000+ Questions for Machine Comprehension of Text — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  63. Aligning Sentences from Standard Wikipedia to Simple Wikipedia — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  64. Automatically Solving Number Word Problems by Semantic Parsing and Reasoning — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  65. Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation — 2015 · Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)
  66. Learn to Solve Algebra Word Problems Using Quadratic Programming — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  67. Learning Knowledge Graphs for Question Answering through Conversational Dialog — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  68. Learning to Automatically Solve Logic Grid Puzzles — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  69. Parsing Algebraic Word Problems into Equations — 2015
  70. Robust Subgraph Generation Improves Abstract Meaning Representation Parsing — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  71. Solving General Arithmetic Word Problems — our card · 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  72. Solving Geometry Problems: Combining Text and Diagram Interpretation — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  73. ``A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce'''': Learning State Changing Verbs from Wikipedia Revision History — 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
  74. agarwal-2025-step-step-unmasking-parameter-efficient
  75. ahmed-2025-bennumeval-benchmark-assess-llms-numerical
  76. alenezi-2026-llm-prompting-techniques-arabic-language
  77. athavale-2019-predicting-algorithm-classes-programming-word
  78. baeumel-2025-disentangling-mathematical-reasoning-llms-methodological
  79. bouchard-2016-learning-generate-textual-data
  80. cao-2026-comol-efficient-mixture-lora-experts
  81. cao-2026-moa-heterogeneous-mixture-adapters-parameter
  82. cheng-2023-analyzing-chatgpt-s-mathematical-deficiencies
  83. chu-2024-navigate-through-enigmatic-labyrinth-survey
  84. er-2026-math-db-discourse-framework-mathematical
  85. feng-2025-comoe-contrastive-representation-mixture-experts
  86. gangwar-2026-integrating-arithmetic-learning-improves-mathematical
  87. gou-2025-mitigating-demonstration-bias-through-global
  88. griffith-2020-solving-arithmetic-word-problems-transformer
  89. gu-2024-bottom-top-extending-potential-parameter
  90. hao-2025-dynamic-collaboration-multi-language-models
  91. jurczyk-2015-semantics-based-graph-approach-complex
  92. kim-2023-athena-mathematical-reasoning-thought-expansion
  93. kong-2024-better-zero-shot-reasoning-role
  94. kowsher-2025-predicting-through-generation-why-generation
  95. li-2025-glider-global-local-instruction-driven
  96. li-2025-loracoe-improving-large-language-model
  97. liang-2023-don-t-be-blind-questions
  98. liu-2019-aifu-semeval-2019-task-10
  99. liu-2024-making-large-language-models-better
  100. liu-2024-mathbench-evaluating-theory-application-proficiency

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