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

1. Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
2. 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)
3. ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision — 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 — 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 — 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 — 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 — 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)
8. World Models for Math Story Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
9. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning — 2022 · arXiv:2209.14610
10. EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
12. Math Word Problem Generation with Multilingual Language Models — 2022 · Proceedings of the 15th International Conference on Natural Language Generation
13. Noun-MWP: Math Word Problems Meet Noun Answers — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
14. 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)
15. Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations — 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 — 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 — 2022 · arXiv 2205.15683
18. A Bottom-Up DAG Structure Extraction Model for Math Word Problems — 2021 · AAAI 2021
19. Generate & Rank: A Multi-task Framework for Math Word Problems — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
20. Learning by Fixing: Solving Math Word Problems with Weak Supervision — 2021 · AAAI 2021 (arXiv 2012.10582)
21. Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks — 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 — 2021 · arXiv 2111.05364
23. 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
24. Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model — 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 — 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)
26. A Goal-Driven Tree-Structured Neural Model for Math Word Problems — 2019 · IJCAI 2019
27. 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
28. ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees — 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 — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
30. SemEval-2019 Task 10: Math Question Answering — 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation
31. Template-Based Math Word Problem Solvers with Recursive Neural Networks — 2019 · AAAI 2019
32. 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)
33. The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers — 2019 · IEEE TPAMI 42(9), 2020 (arXiv 1808.07290)
34. 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)
35. 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)
36. Data-Driven Methods for Solving Algebra Word Problems — 2018 · arXiv 1804.10718
37. Mapping to Declarative Knowledge for Word Problem Solving — our card · 2018
38. MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning — 2018 · AAAI 2018
39. Neural Math Word Problem Solver with Reinforcement Learning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
40. Using Intermediate Representations to Solve Math Word Problems — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)