---
title: "Who cites GraphReason: Enhancing — 13 citing papers"
description: "13 papers of the Elamur Research library cite «GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A…"
canonical: "https://research.elamur.ai/free/en/papers/cao-2023-graphreason-enhancing-reasoning-capabilities-large/cited-by/"
---
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# Who cites «GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach»

13 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 «GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach»](https://md.research.elamur.ai/free/en/papers/cao-2023-graphreason-enhancing-reasoning-capabilities-large/)

1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
2. [**A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics arXiv:2502.14333**Ting-Ruen Wei, Haowei Liu, Xuyang Wu, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-survey-feedback-based-multi-step/)
3. **[Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-not-all-tokens-matter-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanbing Liu, Lang Cao, Yuanyi Ren, et al.*2026 · 1 citation*
4. **[Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement](https://md.research.elamur.ai/free/en/papers/zhong-2026-consistent-world-models-multi-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qimin Zhong, Hao Liao, Haiming Qin, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/cao-2023-graphreason-enhancing-reasoning-capabilities-large/) — GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach