Who cites «Mapping to Declarative Knowledge for Word Problem Solving»

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

1. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
2. Math-DB: A Discourse Framework for Mathematical Word Problems to Enhance LLM Reasoning — 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
3. Exploring Backward Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
4. 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
5. Cutting Through the Noise: Boosting LLM Performance on Math Word Problems — our card · 2024 · arXiv:2406.15444
6. Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving — 2024 · arXiv:2404.03938 · SN Computer Science, 5, 506 (2024)
7. Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
8. Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns? — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
9. A Generation-based Deductive Method for Math Word Problems — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
10. 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)
11. 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
12. Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems — 2023 · arXiv:2310.01991
13. 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
14. Techniques to Improve Neural Math Word Problem Solvers — 2023 · arXiv:2302.03145
15. World Models for Math Story Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
16. HAWP: a Dataset for Hindi Arithmetic Word Problem Solving — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
17. LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
18. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
19. Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
20. 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)
21. Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks — 2022 · arXiv:2211.12588
22. Textual Enhanced Contrastive Learning for Solving Math Word Problems — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
23. Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers — 2022 · arXiv 2205.15683
24. Are NLP Models really able to Solve Simple Math Word Problems? — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
25. Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
26. Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning — 2021 · arXiv:2105.04165
27. NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
28. 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)
29. Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
30. Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
31. Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems — 2021 · arXiv 2111.05364
32. A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
33. Graph-to-Tree Learning for Solving Math Word Problems — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
34. Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
35. A Goal-Driven Tree-Structured Neural Model for Math Word Problems — 2019 · IJCAI 2019
36. MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms — 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)
37. Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
38. 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)
39. Template-Based Math Word Problem Solvers with Recursive Neural Networks — 2019 · AAAI 2019
40. 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)
41. 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)
42. Neural Math Word Problem Solver with Reinforcement Learning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
43. Translating a Math Word Problem to a Expression Tree — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
44. Translating a Math Word Problem to an Expression Tree — 2018 · arXiv:1811.05632
45. 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)