---
title: "Liang Zeng — author profile and papers"
description: "Liang Zeng, Central South University: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/liang-zeng/"
---
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# Liang Zeng

Liang Zeng has 2 papers in our library, 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 [Jujie He](https://md.research.elamur.ai/free/en/authors/jujie-he/), [Shuicheng Yan](https://md.research.elamur.ai/free/en/authors/shuicheng-yan/), [Yahui Zhou](https://md.research.elamur.ai/free/en/authors/yahui-zhou/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5115597239) · [ORCID](https://orcid.org/0000-0002-9233-6665) · [**h-index 4**](https://openalex.org/authors/A5115597239) · [17 works](https://openalex.org/works?filter=author.id:A5115597239) · [47 citations](https://openalex.org/works?filter=author.id:A5115597239&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/liang-zeng/#papers) · [🔗 163 citations in our library](https://md.research.elamur.ai/free/en/authors/liang-zeng/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #4080](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4080)

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=Liang+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liang+Zeng) · [dblp](https://dblp.org/search?q=Liang+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Liang+Zeng)

## Affiliations

[🎓**Central South University** Changsha · China 2024–2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🎓**Beijing Jiaotong University** Beijing · China 2024–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🏥**Hunan Cancer Hospital** Changsha · China 2024–2025 · 3 papers*current*](https://ror.org/025020z88) · [🏢**China Tobacco Guangxi Industrial** Nanning · China 2025 · 1 paper*current*](https://ror.org/00fzs3g26) · [🏛️**Chinese Academy of Sciences** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**South China Sea Institute Of Oceanology** Guangzhou · China 2025 · 1 paper*current*](https://ror.org/0192yj155) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining (2)](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/liang-zeng/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/)** *(2024 · 104 citations)* Reward models turn human preferences into a training signal for LLM alignment. Their quality depends heavily on the preference data, and open-source preference datasets tend to be noisy or inconsistently labelled. The authors take a data-first approach. Using only public sources (HelpSteer2, OffsetBias, WildGuardMix…
2. **[Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes On](https://md.research.elamur.ai/free/en/papers/zeng-2024-skywork-math-data-scaling-laws/)** *(2024 · 14 citations)* The paper asks whether strong mathematical reasoning really requires very large models, and whether supervised fine-tuning (SFT) only changes output style.

## 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

11 co-authors with a page, the most papers together first.

- [Jujie He](https://md.research.elamur.ai/free/en/authors/jujie-he/) ×2
- [Shuicheng Yan](https://md.research.elamur.ai/free/en/authors/shuicheng-yan/) ×2
- [Yahui Zhou](https://md.research.elamur.ai/free/en/authors/yahui-zhou/) ×2
- [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) ×2
- [Cheng Cheng](https://md.research.elamur.ai/free/en/authors/cheng-cheng/)
- [Han Fang](https://md.research.elamur.ai/free/en/authors/han-fang/)
- [Liang Zhao](https://md.research.elamur.ai/free/en/authors/liang-zhao/)
- [Liu Yang](https://md.research.elamur.ai/free/en/authors/liu-yang/)
- [Rui Hu](https://md.research.elamur.ai/free/en/authors/rui-hu/)
- [Rui Yan](https://md.research.elamur.ai/free/en/authors/rui-yan/)
- [Tianwen Wei](https://md.research.elamur.ai/free/en/authors/tianwen-wei/)

## Cited by

Papers of our library cite their works 163 times (of the 140,884 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/liang-zeng/cited-by/).
