---
title: "Who cites MinT: Boosting Generalization in — 16 citing papers"
description: "16 papers of the Elamur Research library cite «MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning», found…"
canonical: "https://research.elamur.ai/free/en/papers/liang-2024-mint-boosting-generalization-mathematical-reasoning/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MinT: Boosting Generalization in Mathematical…](https://md.research.elamur.ai/free/en/papers/liang-2024-mint-boosting-generalization-mathematical-reasoning/) / cited by

# Who cites «MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning»](https://md.research.elamur.ai/free/en/papers/liang-2024-mint-boosting-generalization-mathematical-reasoning/)

1. **[Large Language Models for Mathematical Reasoning: Progresses and Challenges](https://md.research.elamur.ai/free/en/papers/ahn-2024-large-language-models-mathematical-reasoning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Janice Ahn, Rishu Verma, Renze Lou, et al.*2024 · 280 citations*
2. **[GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers](https://md.research.elamur.ai/free/en/papers/li-2024-gsm-plus-comprehensive-benchmark-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qintong Li, Leyang Cui, Xueliang Zhao, et al.*2024 · 108 citations*
3. [**MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions arXiv:2405.19444**Zhenwen Liang, Dian Yu, Wenhao Yu, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mathchat-benchmarking-mathematical-reasoning-instruction/)
4. [**SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models arXiv:2408.15565**Dian Yu, Baolin Peng, Ye Tian, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-siam-self-improving-code-assisted/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/liang-2024-mint-boosting-generalization-mathematical-reasoning/) — MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning