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# 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](https://md.mova.elamur.ai/free/en/docs/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/)

1. [How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark](https://md.mova.elamur.ai/free/en/docs/papers/yang-2025-llm-reasoning-distracted-irrelevant-context/) *— our card · 2025 · arXiv:2505.18761*
2. akella-2024-improving-math-problem-solving-large
3. baeumel-2025-disentangling-mathematical-reasoning-llms-methodological
4. huang-2026-language-model-as-planner-formalizer
5. kishanthan-2026-large-language-models-math-education
6. yang-2025-iterative-llm-based-generation-refinement
7. yang-2025-utmath-benchmark-math-evaluation-unit
- [← previous Who cites «Annotating the Focus of Negation in terms of Questions Under Discussion»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/anand-2012-annotating-focus-negation-terms-questions/)
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