---
title: "Who cites Mingfeng Xue"
description: "503 papers of the Elamur Research library cite the works of Mingfeng Xue, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/mingfeng-xue/cited-by/"
---
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# Who cites Mingfeng Xue

508 citations of their works from 503 papers of our library (of the 140 884 whose bibliographies we read) · 20 with a page here, the most cited first · [← Mingfeng Xue](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/)

- [Qwen3 Technical Report](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen3-technical-report/) — An Yang, Anfeng Li, Baosong Yang, et al. · 2025 · 3 276 citations
- [Yi: Open Foundation Models by 01.AI](https://md.research.elamur.ai/free/en/papers/ai-2024-yi-open-foundation-models-01/) — Alex Young, Bei Chen, Chao Li, et al. · 2024 · 402 citations
- [WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct](https://md.research.elamur.ai/free/en/papers/luo-2023-wizardmath-empowering-mathematical-reasoning-large/) — Haipeng Luo, Qingfeng Sun, Can Xu, et al. · 2023 · 366 citations
- [Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) — Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen · 2023 · 335 citations
- [Understanding R1-Zero-Like Training: A Critical Perspective](https://md.research.elamur.ai/free/en/papers/liu-2025-understanding-r1-zero-like-training/) — Zichen Liu, Changyu Chen, Wenjun Li, et al. · 2025 · 266 citations
- [Search-o1: Agentic Search-Enhanced Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/li-2025-search-o1-agentic-search-enhanced/) — Xiaoxi Li, Guanting Dong, Jiajie Jin, et al. · 2025 · 205 citations
- [LIMO: Less is More for Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2025-limo-less-more-reasoning/) — Yixin Ye, Zhen Huang, Yang Xiao, et al. · 2025 · 204 citations
- [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/) — Qiguang Chen, Libo Qin, Jinhao Liu, et al. · 2025 · 174 citations
- [SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model](https://md.research.elamur.ai/free/en/papers/allal-2025-smollm2-smol-goes-big-data/) — Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al. · 2025 · 171 citations
- [Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-omni-math-universal-olympiad-level/) — Bofei Gao, Feifan Song, Zhe Yang, et al. · 2024 · 159 citations
- [The Lessons of Developing Process Reward Models in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-lessons-developing-process-reward-models/) — Zhenru Zhang, Chujie Zheng, Yangzhen Wu, et al. · 2025 · 155 citations
- [SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild](https://md.research.elamur.ai/free/en/papers/zeng-2025-simplerl-zoo-investigating-taming-zero/) — Weihao Zeng, Yuzhen Huang, Qian Liu, et al. · 2025 · 148 citations
- [Process Reinforcement through Implicit Rewards](https://md.research.elamur.ai/free/en/papers/cui-2025-process-reinforcement-through-implicit-rewards/) — Ganqu Cui, Lifan Yuan, Zefan Wang, et al. · 2025 · 147 citations
- [rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/) — Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al. · 2025 · 146 citations
- [ProcessBench: Identifying Process Errors in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zheng-2025-processbench-identifying-process-errors-mathematical/) — Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al. · 2025 · 116 citations
- [Demystifying Long Chain-of-Thought Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/yeo-2025-demystifying-long-chain-thought-reasoning/) — Edward Yeo, Yuxuan Tong, Morry Niu, et al. · 2025 · 113 citations
- [Qwen2.5-1M Technical Report](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen2-5-1m-technical/) — An Yang, Bowen Yu, Chengyuan Li, et al. · 2025 · 100 citations
- [Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/liu-2025-1b-llm-surpass-405b-llm/) — Runze Liu, Junqi Gao, Jian Zhao, et al. · 2025 · 41 citations
- [Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/) — Khin Yone, Devasha Trivedi, Anish Pahilajani, et al. · 2026
- [Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/) — Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al. · 2026

483 more citing papers of our library have no page here yet.
