---
title: "Who cites MathCoder2: Better Math — 18 citing papers"
description: "18 papers of the Elamur Research library cite «MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated…"
canonical: "https://research.elamur.ai/free/en/papers/lu-2024-mathcoder2-better-math-reasoning-continued/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MathCoder2: Better Math Reasoning from Continued…](https://md.research.elamur.ai/free/en/papers/lu-2024-mathcoder2-better-math-reasoning-continued/) / cited by

# Who cites «MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code»](https://md.research.elamur.ai/free/en/papers/lu-2024-mathcoder2-better-math-reasoning-continued/)

1. **[Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-code-think-think-code-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dayu Yang, Tianyang Liu, Daoan Zhang, et al.*2025 · 19 citations*
2. [**MegaMath: Pushing the Limits of Open Math Corpora arXiv:2504.02807**Fan Zhou, Zengzhi Wang, Nikhil Ranjan, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-megamath-pushing-limits-open-math/)
3. **[A Survey of Inductive Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2026-survey-inductive-reasoning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.*2026 · 10 citations*
4. [**Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision arXiv:2512.15489**Wei Du; Shubham Toshniwal; Branislav Kisacanin; Sadegh Mahdavi; Ivan Moshkov; George Armstrong; Stephen Ge; Edgar Minasyan; Feng Chen;, Igor Gitman*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/du-2025-nemotron-math-efficient-long-context/)
5. **[Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance](https://md.research.elamur.ai/free/en/papers/ueda-2026-merging-continual-pretraining-models-domain/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kentaro Ueda, François Portet, Hirohiko Suwa, et al.*2026*
6. **[SciPedia: Unlocking the Value of Scientific Data for Pre-training](https://md.research.elamur.ai/free/en/papers/qin-2026-scipedia-unlocking-value-scientific-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiwei Qin, Zhen Huang, Tiantian Mi, et al.*2026*

12 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lu-2024-mathcoder2-better-math-reasoning-continued/) — MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code