--- title: "Who cites ArithmAttack: Evaluating — 12 citing papers" description: "12 papers of the Elamur Research library cite «ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving»…" canonical: "https://research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ArithmAttack: Evaluating Robustness of LLMs to…](https://md.research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/) / cited by # Who cites «ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving» 12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving»](https://md.research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/) 1. **[Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation* 2. **[Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors](https://md.research.elamur.ai/free/en/papers/zhao-2026-evaluating-robustness-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.*2026 · 1 citation* 10 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/abedin-2025-arithmattack-evaluating-robustness-llms-noisy/) — ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving