---
title: "Who cites Reasoning in Large Language — 21 citing papers"
description: "21 papers of the Elamur Research library cite «Reasoning in Large Language Models Through Symbolic Math Word Problems», found in their…"
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---
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# Who cites «Reasoning in Large Language Models Through Symbolic Math Word Problems»

21 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Reasoning in Large Language Models Through Symbolic Math Word Problems»](https://md.research.elamur.ai/free/en/papers/gaur-2023-reasoning-large-language-models-through/)

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. **[Faithful Logical Reasoning via Symbolic Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/xu-2024-faithful-logical-reasoning-symbolic-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jundong Xu, Hao Fei, Liangming Pan, et al.*2024 · 129 citations*
3. **[Aligning Large and Small Language Models via Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-aligning-large-small-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Leonardo Ranaldi, Andre Freitas*2024 · 70 citations*
4. **[Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/ranaldi-2024-self-refine-instruction-tuning-aligning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Leonardo Ranaldi, Andre Freitas*2024 · 35 citations*
5. [**Could Thinking Multilingually Empower LLM Reasoning? arXiv:2504.11833**Changjiang Gao, Xu Huang, Wenhao Zhu, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-could-thinking-multilingually-empower-llm/)
6. [**Cutting Through the Noise: Boosting LLM Performance on Math Word Problems**Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/)
7. **[Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language Pair](https://md.research.elamur.ai/free/en/papers/singh-2026-reasoning-as-supportive-context-machine/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/gaur-2023-reasoning-large-language-models-through/) — Reasoning in Large Language Models Through Symbolic Math Word Problems