Who cites «Cutting Through the Noise: Boosting LLM Performance on Math Word Problems»

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

1. Language Model as Planner and Formalizer under Constraints — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2. Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil — 2026 · arXiv:2602.14517
3. Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms — 2025 · Proceedings of The 3rd Workshop on Mathematical Natural Language Processing (MathNLP 2025)
4. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark — our card · 2025 · arXiv:2505.18761
5. Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems — 2025 · arXiv:2510.08615
6. UTMath: A Benchmark for Math Evaluation with Unit Test — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
7. Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring — 2024 · arXiv:2411.00042