---
title: "Mingfeng Xue — author profile and papers"
description: "Mingfeng Xue, University of North Carolina at Greensboro: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/mingfeng-xue/"
---
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# Mingfeng Xue

2 papers on this site · 2024

current affiliation [University of North Carolina at Greensboro](https://ror.org/04fnxsj42), Greensboro, United States

Mingfeng Xue has 2 papers on this site, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chengpeng Li](https://md.research.elamur.ai/free/en/authors/chengpeng-li/), [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/), [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/).

[OpenAlex](https://openalex.org/A5085563975) · [ORCID](https://orcid.org/0000-0002-4801-3754) · [**h-index 7**](https://openalex.org/authors/A5085563975) · [23 works](https://openalex.org/works?filter=author.id:A5085563975) · [274 citations](https://openalex.org/works?filter=author.id:A5085563975&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/#papers) · [508 citations in our library](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/cited-by/) · 2 more works in our library

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mingfeng+Xue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mingfeng+Xue) · [dblp](https://dblp.org/search?q=Mingfeng+Xue) · [ACL Anthology](https://aclanthology.org/search/?q=Mingfeng+Xue)

## Affiliations

- [University of North Carolina at Greensboro](https://ror.org/04fnxsj42) · Greensboro, United States —current · 2025–2026 on 3 papers
- [University of California, Berkeley](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · Berkeley, United States —2023–2025 on 6 papers
- [Sichuan University](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · Chengdu, China —2023–2025 on 4 papers
- [Alibaba Group (China)](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · Hangzhou, China —2023–2025 on 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement](https://md.research.elamur.ai/free/en/papers/yang-2024-qwen2-5-math-technical-report/)** *(2024 · 410 citations)* This report describes Qwen2.5-Math, a family of open LLMs specialised in mathematics. It includes base models, instruction-tuned models at 1.5B, 7B and 72B parameters, and a reward model, Qwen2.5-Math-RM. The main idea is self-improvement: the previous generation of models supplies the data and feedback used to train…
2. **[How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/)** *(2024 · 145 citations)* Open-source models are usually fine-tuned for one skill at a time, while proprietary LLMs handle many skills at once.

## Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Chengpeng Li](https://md.research.elamur.ai/free/en/authors/chengpeng-li/) ×2
- [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) ×2
- [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) ×2
- [Keming Lu](https://md.research.elamur.ai/free/en/authors/keming-lu/) ×2
- [An Yang](https://md.research.elamur.ai/free/en/authors/an-yang/)
- [Beichen Zhang](https://md.research.elamur.ai/free/en/authors/beichen-zhang/)
- [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/)
- [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/)
- [Bowen Yu](https://md.research.elamur.ai/free/en/authors/bowen-yu/)
- [Chang Zhou](https://md.research.elamur.ai/free/en/authors/chang-zhou/)
- [Guanting Dong](https://md.research.elamur.ai/free/en/authors/guanting-dong/)
- [Hongyi Yuan](https://md.research.elamur.ai/free/en/authors/hongyi-yuan/)

## Cited by

Papers of our library cite their works 508 times (of the 140 884 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mingfeng-xue/cited-by/).
