Elamur Research
☰
home / papers / Learning to Reason Deductively: Math Word Problem… / 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

  1. MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support — 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 — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  3. Exploring Backward Reasoning in Large Language Models — 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 — 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 — 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 — 2024 · arXiv:2407.01603
  7. APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning — 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 — 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 — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
  10. Interpreting and Improving Large Language Models in Arithmetic Calculation — 2024 · arXiv:2409.01659
  11. MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning — 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 — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  14. 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)
  15. ATHENA: Mathematical Reasoning with Thought Expansion — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. An Expression Tree Decoding Strategy for Mathematical Equation Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  17. Compositional Mathematical Encoding for Math Word Problems — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  18. Design of Chain-of-Thought in Math Problem Solving — 2023 · arXiv:2309.11054
  19. 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)
  20. Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems — 2023 · arXiv:2310.01991
  21. Interpretable Math Word Problem Solution Generation via Step-by-step Planning — 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 — 2023
  23. 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
  24. Learning Multi-Step Reasoning by Solving Arithmetic Tasks — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  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. Non-Autoregressive Math Word Problem Solver with Unified Tree Structure — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  29. REFINER: Reasoning Feedback on Intermediate Representations — 2023 · arXiv:2304.01904
  30. Scaling Relationship on Learning Mathematical Reasoning with Large Language Models — 2023 · arXiv:2308.01825
  31. Techniques to Improve Neural Math Word Problem Solvers — 2023 · arXiv:2302.03145
  32. Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  33. UniMath: A Foundational and Multimodal Mathematical Reasoner — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  34. Analogical Math Word Problems Solving with Enhanced Problem-Solution Association — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  35. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models — 2022 · arXiv:2201.11903
  36. Chaining Simultaneous Thoughts for Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  37. Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022