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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

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  1. A Survey of Deep Learning for Mathematical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. ATHENA: Mathematical Reasoning with Thought Expansion — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  3. Analyzing ChatGPT''s Mathematical Deficiencies: Insights and Contributions — 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
  4. Batch Prompting: Efficient Inference with Large Language Model APIs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
  5. Better Zero-Shot Reasoning with Role-Play Prompting — 2023 · arXiv:2308.07702
  6. Better Zero-Shot Reasoning with Self-Adaptive Prompting — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  7. Chain of Thought Prompting Elicits Knowledge Augmentation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  8. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration — 2023 · arXiv:2310.00280
  9. Deductive Verification of Chain-of-Thought Reasoning — 2023 · arXiv:2306.03872
  10. Defining a New NLP Playground — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  11. Distilling Reasoning Capabilities into Smaller Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  12. Don''t be Blind to Questions: Question-Oriented Math Word Problem Solving — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate — 2023 · arXiv:2305.19118
  14. Evaluating Large Language Models: A Comprehensive Survey — 2023 · arXiv:2310.19736
  15. Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models — 2023 · arXiv:2310.06692
  17. How Many Demonstrations Do You Need for In-context Learning? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  18. Intégration du raisonnement numérique dans les modèles de langue : État de l''art et direction de recherche — 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)
  19. Is ChatGPT a General-Purpose Natural Language Processing Task Solver? — 2023 · arXiv:2302.06476
  20. It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  21. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  22. Language Models can Solve Computer Tasks — 2023 · arXiv:2303.17491
  23. Large Language Models are Better Reasoners with Self-Verification — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  24. Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  25. Let''s reward step by step: Step-Level reward model as the Navigators for Reasoning — 2023 · arXiv:2310.10080
  26. MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning — 2023 · arXiv:2309.05653
  27. Math Word Problem Solving by Generating Linguistic Variants of Problem Statements — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  28. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2023 · arXiv:2309.15402
  29. Orca 2: Teaching Small Language Models How to Reason — 2023 · arXiv:2311.11045
  30. Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  31. Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  32. Progressive-Hint Prompting Improves Reasoning in Large Language Models — 2023 · arXiv:2304.09797
  33. Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution — 2023 · arXiv:2309.16797
  34. R$^3$ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  35. Tab-CoT: Zero-shot Tabular Chain of Thought — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  36. TheoremQA: A Theorem-driven Question Answering Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  37. Through the Lens of Core Competency: Survey on Evaluation of Large Language Models — 2023 · arXiv:2308.07902
  38. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving — 2023 · arXiv:2309.17452
  39. Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration — 2023 · arXiv:2311.08152
  40. UniMath: A Foundational and Multimodal Mathematical Reasoner — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  41. Unleashing the potential of prompt engineering for large language models — 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)
  42. Verb Categorisation for Hindi Word Problem Solving — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
  43. World Models for Math Story Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  44. Analytical Reasoning of Text — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  45. ArMATH: a Dataset for Solving Arabic Math Word Problems — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  46. Automatic Generation of Socratic Subquestions for Teaching Math Word Problems — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  47. 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
  48. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models — 2022 · arXiv:2201.11903
  49. Generating Sequences by Learning to Self-Correct — 2022 · arXiv:2211.00053
  50. HAWP: a Dataset for Hindi Arithmetic Word Problem Solving — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  51. Investigating Math Word Problems using Pretrained Multilingual Language Models — 2022 · Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP)
  52. LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  53. Large language models are zero-shot reasoners — 2022
  54. 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)
  55. 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
  56. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks — 2022 · arXiv:2211.12588
  57. Reasoning with Language Model Prompting: A Survey — 2022 · arXiv:2212.09597
  58. Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  59. Self-Consistency Improves Chain of Thought Reasoning in Language Models — 2022 · arXiv:2203.11171
  60. Solving Quantitative Reasoning Problems with Language Models — 2022 · arXiv:2206.14858
  61. Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers — 2022 · arXiv 2205.15683
  62. Generate & Rank: A Multi-task Framework for Math Word Problems — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  63. Mapping probability word problems to executable representations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  64. Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  65. Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems — 2021 · arXiv 2111.05364
  66. 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
  67. Graph-to-Tree Learning for Solving Math Word Problems — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  68. Injecting Numerical Reasoning Skills into Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  69. Recurrent Inference in Text Editing — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  70. Solving Arithmetic Word Problems Using Transformer and Pre-processing of Problem Texts — 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)
  71. Solving Math Word Problems with Multi-Encoders and Multi-Decoders — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  72. AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering — 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation
  73. 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)
  74. 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)
  75. 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)
  76. Predicting Algorithm Classes for Programming Word Problems — 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
  77. 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
  78. SemEval-2019 Task 10: Math Question Answering — 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation
  79. 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)
  80. Template-Based Math Word Problem Solvers with Recursive Neural Networks — 2019 · AAAI 2019
  81. 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)
  82. The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers — 2019 · IEEE TPAMI 42(9), 2020 (arXiv 1808.07290)
  83. Towards Generating Math Word Problems from Equations and Topics — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
  84. 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)
  85. 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)
  86. Data-Driven Methods for Solving Algebra Word Problems — 2018 · arXiv 1804.10718
  87. EquGener: A Reasoning Network for Word Problem Solving by Generating Arithmetic Equations — 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation
  88. Mapping to Declarative Knowledge for Word Problem Solving — our card · 2018
  89. MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning — 2018 · AAAI 2018
  90. Neural Math Word Problem Solver with Reinforcement Learning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  91. 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)
  92. 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
  93. 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
  94. Deep Neural Network based system for solving Arithmetic Word problems — 2017 · Proceedings of the IJCNLP 2017, System Demonstrations
  95. Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems — 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
  96. 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)
  97. Reasoning with Sets to Solve Simple Word Problems Automatically — 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)
  98. Semantic Parsing of Pre-university Math Problems — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  99. 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
  100. 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

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