---
title: "Who cites No Train Still Gain. Unleash — 11 citing papers"
description: "11 papers of the Elamur Research library cite «No Train Still Gain. Among them: Towards Reasoning Era: A Survey of Long…"
canonical: "https://research.elamur.ai/free/en/papers/xu-2023-no-train-still-gain-unleash/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2023-no-train-still-gain-unleash/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [No Train Still Gain. Unleash Mathematical…](https://md.research.elamur.ai/free/en/papers/xu-2023-no-train-still-gain-unleash/) / cited by

# Who cites «No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function»](https://md.research.elamur.ai/free/en/papers/xu-2023-no-train-still-gain-unleash/)

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. [**Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning arXiv:2502.14768**Tian Xie, Zitian Gao, Qingnan Ren, et al.*2025 · 104 citations*](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/)
3. [**LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning arXiv:2410.02884**Di Zhang, Jianbo Wu, Jingdi Lei, et al.*2024 · 49 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-llama-berry-pairwise-optimization-o1/)
4. [**RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? arXiv:2501.11284**Haotian Xu, Xing Wu, Weinong Wang, et al.*2025 · 37 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-redstar-scaling-long-cot-data/)
5. [**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/xu-2023-no-train-still-gain-unleash/) — No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function