---
title: "Yuan Sun — author profile and papers — Elamur Research"
description: "Yuan Sun, Minzu University of China: 2 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yuan-sun/"
---
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# Yuan Sun

Yuan Sun has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5101731298) · [ORCID](https://orcid.org/0000-0003-0565-9659) · [**h-index 7**](https://openalex.org/authors/A5101731298) · [47 works](https://openalex.org/works?filter=author.id:A5101731298) · [170 citations](https://openalex.org/works?filter=author.id:A5101731298&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuan-sun/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/yuan-sun/cited-by/) · [⭐ Paper Stars ranking: #10324](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10324)

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

## Affiliations

[🎓**Minzu University of China** Beijing · China 2009–2026 · 36 papers*current*](https://md.research.elamur.ai/free/en/universities/minzu-university-of-china/)

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.

## Fields, topics and concepts

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

📚 Shelves 4 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/)

🧭 Topics 4 Research subjects and languages the work is about.[Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yuan-sun/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuan-sun/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/zhuang-2025-cute-multilingual-dataset-enhancing-cross/)** *(2025 · 7 citations)* Large language models handle high-resource languages well but give weak support to Uyghur and Tibetan, minority languages of China with roughly 13 and 8 million speakers.
2. **[MonCulture-Eval: A Hierarchical Benchmark for Evaluating Mongolian Cultural Capabilities of Large Language Models across Scripts and Regions](https://md.research.elamur.ai/free/en/papers/minggad-2026-monculture-eval-hierarchical-benchmark-evaluating/)** *(2026)* LLMs can produce fluent Mongolian, but it is unclear whether they understand the cultural reasoning behind the language.

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [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 7 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yuan-sun/cited-by/).

Updated 1 November 2026
