--- title: "Applied Mathematics — papers — Elamur Research" description: "Applied Mathematics: 21 papers of the Elamur Research library, the most cited first — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Mathematics](https://md.research.elamur.ai/free/en/shelves/mathematics/) / Applied Mathematics # ➗ Applied Mathematics 21 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Applied Mathematics is a subfield of Mathematics in the OpenAlex classification of science. The topics most of its papers here are on: «Mathematics Education and Pedagogy», «Statistical and numerical algorithms». ## Papers (21) 1. [**Training Verifiers to Solve Math Word Problems**Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.*2021 · 3,680 citations*](https://md.research.elamur.ai/free/en/papers/cobbe-2021-training-verifiers-solve-math-word/) 2. [**Fitting Linear Mixed-Effects Models Using lme4**Douglas Bates, Martin Mächler, Ben Bolker, et al.*2015 · 2,925 citations*](https://md.research.elamur.ai/free/en/papers/bates-2015-fitting-linear-mixed-effects-models/) 3. [**Measuring Mathematical Problem Solving With the MATH Dataset**Dan Hendrycks, Collin Burns, Saurav Kadavath, et al.*2021 · 2,320 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-mathematical-problem-solving-math/) 4. [**Solving Quantitative Reasoning Problems with Language Models**Aitor Lewkowycz, Anders Andreassen, David Dohan, et al.*2022 · 975 citations*](https://md.research.elamur.ai/free/en/papers/lewkowycz-2022-solving-quantitative-reasoning-problems-language/) 5. [**Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement**An Yang, Beichen Zhang, Binyuan Hui, et al.*2024 · 410 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-qwen2-5-math-technical-report/) 6. [**Solving math word problems with process- and outcome-based feedback**Jonathan Uesato, Nate Kushman, Ramana Kumar, et al.*2022 · 335 citations*](https://md.research.elamur.ai/free/en/papers/uesato-2022-solving-math-word-problems-process/) 7. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/) 8. [**MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics**Kunhao Zheng, Jesse Michael Han, Stanislas Polu*2021 · 255 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2021-minif2f-cross-system-benchmark-formal/) 9. [**MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?**Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.*2024 · 231 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mathverse-multi-modal-llm-truly/) 10. [**LIMO: Less is More for Reasoning**Yixin Ye, Zhen Huang, Yang Xiao, et al.*2025 · 204 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-limo-less-more-reasoning/) 11. [**Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset**Ke Wang, Junting Pan, Weikang Shi, et al.*2024 · 198 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/) 12. [**GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning**Jiaqi Chen, Jianheng Tang, Jinghui Qin, et al.*2021 · 183 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-geoqa-geometric-question-answering-benchmark/) 13. [**Improve Mathematical Reasoning in Language Models by Automated Process Supervision**Liangchen Luo, Yinxiao Liu, Rosanne Liu, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/luo-2024-improve-mathematical-reasoning-language-models/) 14. [**Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models**Bofei Gao, Feifan Song, Zhe Yang, et al.*2024 · 159 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) 15. [**The Lessons of Developing Process Reward Models in Mathematical Reasoning**Zhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.*2025 · 155 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-lessons-developing-process-reward-models/) 16. [**rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking**Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.*2025 · 146 citations*](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/) 17. [**UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression**Jiaqi Chen, Tong Li, Jinghui Qin, et al.*2022 · 111 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-unigeo-unifying-geometry-logical-reasoning/) 18. [**Orca-Math: Unlocking the potential of SLMs in Grade School Math**Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2024-orca-math-unlocking-potential-slms/) 19. [**Solving Math Word Problems via Cooperative Reasoning induced Language Models**Xinyu Zhu, Junjie Wang, Lin Zhang, et al.*2023 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-solving-math-word-problems-cooperative/) 20. [**Evaluating Mathematical Reasoning Beyond Accuracy**Shijie Xia, Xuefeng Li, Yixin Liu, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-evaluating-mathematical-reasoning-accuracy/) 21. [**CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?**Tianwen Wei, Jian Luan, Wei Liu, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-cmath-language-model-pass/) Updated 24 October 2026 - [next subfield → Computational Mathematics](https://md.research.elamur.ai/free/en/shelves/mathematics/computational-mathematics/) - [↑ back to Mathematics](https://md.research.elamur.ai/free/en/shelves/mathematics/)