---
title: "Who cites Learning to Reason Deductively: Math Word…"
description: "The papers of the Elamur Research library that cite «Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction», found in…"
canonical: "https://research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning to Reason Deductively: Math Word Problem…](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/) / cited by

# 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.research.elamur.ai/free/en/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. [Exploring Backward Reasoning in Large Language Models](https://aclanthology.org/2025.findings-naacl.366/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
4. [Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval](https://aclanthology.org/2025.emnlp-main.1577/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
5. [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*
6. [A Review of Large Language Models and Autonomous Agents in Chemistry](https://arxiv.org/abs/2407.01603) *— 2024 · arXiv:2407.01603*
7. [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)*
8. [Beyond the Hype: Identifying and Analyzing Math Word Problem-Solving Challenges for Large Language Models](https://aclanthology.org/2024.practicald2t-1.1/) *— 2024 · Proceedings of the 2nd Workshop on Practical LLM-assisted Data-to-Text Generation*
9. [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*
10. [Interpreting and Improving Large Language Models in Arithmetic Calculation](https://arxiv.org/abs/2409.01659) *— 2024 · arXiv:2409.01659*
11. [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)*
12. [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)*
13. [A Generation-based Deductive Method for Math Word Problems](https://aclanthology.org/2023.emnlp-main.108/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [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)*
15. [ATHENA: Mathematical Reasoning with Thought Expansion](https://aclanthology.org/2023.emnlp-main.1014/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [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*
17. [Compositional Mathematical Encoding for Math Word Problems](https://aclanthology.org/2023.findings-acl.635/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
18. [Design of Chain-of-Thought in Math Problem Solving](https://arxiv.org/abs/2309.11054) *— 2023 · arXiv:2309.11054*
19. [Don”t be Blind to Questions: Question-Oriented Math Word Problem Solving](https://aclanthology.org/2023.ijcnlp-main.2/) *— 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)*
20. [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*
21. [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)*
22. [Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks](https://aclanthology.org/2023.tacl-1.66/) *— 2023*
23. [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*
24. [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)*
25. [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*
26. [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*
27. [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)*
28. [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*
29. [REFINER: Reasoning Feedback on Intermediate Representations](https://arxiv.org/abs/2304.01904) *— 2023 · arXiv:2304.01904*
30. [Scaling Relationship on Learning Mathematical Reasoning with Large Language Models](https://arxiv.org/abs/2308.01825) *— 2023 · arXiv:2308.01825*
31. [Techniques to Improve Neural Math Word Problem Solvers](https://arxiv.org/abs/2302.03145) *— 2023 · arXiv:2302.03145*
32. [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*
33. [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*
34. [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*
35. [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://arxiv.org/abs/2201.11903) *— 2022 · arXiv:2201.11903*
36. [Chaining Simultaneous Thoughts for Numerical Reasoning](https://aclanthology.org/2022.findings-emnlp.187/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
37. [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*