Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction»

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. 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
  4. A Review of Large Language Models and Autonomous Agents in Chemistry — 2024 · arXiv:2407.01603
  5. 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)
  6. 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
  7. Interpreting and Improving Large Language Models in Arithmetic Calculation — 2024 · arXiv:2409.01659
  8. 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)
  9. 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)
  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. An Expression Tree Decoding Strategy for Mathematical Equation Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  12. Design of Chain-of-Thought in Math Problem Solving — 2023 · arXiv:2309.11054
  13. Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems — 2023 · arXiv:2310.01991
  14. 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)
  15. Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks — 2023
  16. 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
  17. 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)
  18. 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
  19. Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  20. 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)
  21. Non-Autoregressive Math Word Problem Solver with Unified Tree Structure — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  22. REFINER: Reasoning Feedback on Intermediate Representations — 2023 · arXiv:2304.01904
  23. Scaling Relationship on Learning Mathematical Reasoning with Large Language Models — 2023 · arXiv:2308.01825
  24. Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  25. UniMath: A Foundational and Multimodal Mathematical Reasoner — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. Analogical Math Word Problems Solving with Enhanced Problem-Solution Association — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  27. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models — 2022 · arXiv:2201.11903
  28. Chaining Simultaneous Thoughts for Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  29. Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem — 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

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jie-2022-learning-reason-deductively-math-word/