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# Who cites «Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction»

37 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/jie-2022-learning-reason-deductively-math-word/)

1. [MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support](https://aclanthology.org/2026.eacl-long.132/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models](https://aclanthology.org/2026.findings-acl.123/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
3. [A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery](https://aclanthology.org/2024.emnlp-main.498/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
4. [A Review of Large Language Models and Autonomous Agents in Chemistry](https://arxiv.org/abs/2407.01603) *— 2024 · arXiv:2407.01603*
5. [APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning](https://aclanthology.org/2024.lrec-main.122/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
6. [Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages](https://aclanthology.org/2024.paclic-1.61/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
7. [Interpreting and Improving Large Language Models in Arithmetic Calculation](https://arxiv.org/abs/2409.01659) *— 2024 · arXiv:2409.01659*
8. [MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning](https://aclanthology.org/2024.lrec-main.988/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives](https://aclanthology.org/2024.acl-long.197/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [A Survey of Deep Learning for Mathematical Reasoning](https://aclanthology.org/2023.acl-long.817/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [An Expression Tree Decoding Strategy for Mathematical Equation Generation](https://aclanthology.org/2023.emnlp-main.29/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
12. [Design of Chain-of-Thought in Math Problem Solving](https://arxiv.org/abs/2309.11054) *— 2023 · arXiv:2309.11054*
13. [Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems](https://arxiv.org/abs/2310.01991) *— 2023 · arXiv:2310.01991*
14. [Interpretable Math Word Problem Solution Generation via Step-by-step Planning](https://aclanthology.org/2023.acl-long.379/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks](https://aclanthology.org/2023.tacl-1.66/) *— 2023*
16. [It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset](https://aclanthology.org/2023.emnlp-main.927/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [Learning Multi-Step Reasoning by Solving Arithmetic Tasks](https://aclanthology.org/2023.acl-short.106/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
18. [Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation](https://aclanthology.org/2023.emnlp-main.889/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
19. [Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning](https://aclanthology.org/2023.findings-acl.668/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
20. [Math Word Problem Solving by Generating Linguistic Variants of Problem Statements](https://aclanthology.org/2023.acl-srw.49/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
21. [Non-Autoregressive Math Word Problem Solver with Unified Tree Structure](https://aclanthology.org/2023.emnlp-main.199/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
22. [REFINER: Reasoning Feedback on Intermediate Representations](https://arxiv.org/abs/2304.01904) *— 2023 · arXiv:2304.01904*
23. [Scaling Relationship on Learning Mathematical Reasoning with Large Language Models](https://arxiv.org/abs/2308.01825) *— 2023 · arXiv:2308.01825*
24. [Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning](https://aclanthology.org/2023.findings-emnlp.201/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
25. [UniMath: A Foundational and Multimodal Mathematical Reasoner](https://aclanthology.org/2023.emnlp-main.440/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
26. [Analogical Math Word Problems Solving with Enhanced Problem-Solution Association](https://aclanthology.org/2022.emnlp-main.643/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
27. [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903) *— 2022 · arXiv:2201.11903*
28. [Chaining Simultaneous Thoughts for Numerical Reasoning](https://aclanthology.org/2022.findings-emnlp.187/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
29. [Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem](https://aclanthology.org/2022.findings-emnlp.79/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
30. hu-2023-generation-based-deductive-method-math
31. khatuya-2025-program-thoughts-financial-reasoning-leveraging
32. kim-2023-athena-mathematical-reasoning-thought-expansion
33. liang-2023-compositional-mathematical-encoding-math-word
34. liang-2023-don-t-be-blind-questions
35. luise-2024-beyond-hype-identifying-analyzing-math
36. ranaldi-2025-exploring-backward-reasoning-large-language
37. zhang-2023-techniques-improve-neural-math-word
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