---
title: "Chao Peng — author profile and papers — Elamur Research"
description: "Chao Peng, Guangzhou Academy of Special Equipment Inspection and Testing: 2 papers on Elamur Research (2023–2026), h-index 19…"
canonical: "https://research.elamur.ai/free/en/authors/chao-peng/"
---
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# Chao Peng

Chao Peng has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Bibo Cai](https://md.research.elamur.ai/free/en/authors/bibo-cai/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5103231827) · [ORCID](https://orcid.org/0000-0003-2843-0689) · [**h-index 19**](https://openalex.org/authors/A5103231827) · [117 works](https://openalex.org/works?filter=author.id:A5103231827) · [2,060 citations](https://openalex.org/works?filter=author.id:A5103231827&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chao-peng/#papers) · [🔗 Cited 52 times in our library](https://md.research.elamur.ai/free/en/authors/chao-peng/cited-by/) · [⭐ Paper Stars ranking: #8667](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8667)

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

## Affiliations

[🏢**ByteDance** Beijing · China 2022–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🔬**Guangzhou Academy of Special Equipment Inspection and Testing** Guangzhou · China 2025–2026 · 3 papers*current*](https://ror.org/012pz7r49) · [🎓**Wuyi University** Jiangmen · China 2024–2026 · 2 papers*current*](https://ror.org/0488wz367) · [🎓**Wuyi University** Wuyishan · China 2024–2026 · 2 papers*current*](https://ror.org/059djzq42) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🔬**China Electric Power Research Institute** Beijing 2022–2025 · 3 papers](https://ror.org/05ehpzy81) · [🔬**Zhejiang Institute of Special Equipment Inspection** Hangzhou · China 2023–2025 · 3 papers](https://ror.org/01jb3sz14) · [🎓**Sun Yat-sen University** Guangzhou · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Taiyuan University of Technology** Taiyuan · China 2023–2024 · 3 papers](https://ror.org/03kv08d37)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 35 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chao-peng/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chao-peng/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility](https://md.research.elamur.ai/free/en/papers/xu-2023-cvalues-measuring-values-chinese/)** *(2023 · 64 citations)* Existing Chinese LLM benchmarks such as C-EVAL, M3KE and GAOKAO-Bench mostly test knowledge and reasoning.
2. **[MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mdc-bench-multidisciplinary-causal-benchmark/)** *(2026)* Most existing causal benchmarks for LLMs use everyday commonsense scenarios with short, single-hop cause–effect links.

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Bibo Cai](https://md.research.elamur.ai/free/en/authors/bibo-cai/)
- [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/)
- [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/)
- [Guohai Xu](https://md.research.elamur.ai/free/en/authors/guohai-xu/)
- [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/)
- [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/)
- [Jiayi Liu](https://md.research.elamur.ai/free/en/authors/jiayi-liu/)
- [Jitao Sang](https://md.research.elamur.ai/free/en/authors/jitao-sang/)
- [Kai Xiong](https://md.research.elamur.ai/free/en/authors/kai-xiong/)
- [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/)
- [Peng Wang](https://md.research.elamur.ai/free/en/authors/peng-wang/)
- [Ting Liu](https://md.research.elamur.ai/free/en/authors/ting-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chao-peng/cited-by/).

Updated 2 November 2026
