---
title: "Zekun Yuan — author profile and papers · Machine translation"
description: "Zekun Yuan, Harbin Institute of Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zekun-yuan/"
---
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# Zekun Yuan

Zekun Yuan has 2 papers in our library, in 2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/), [Qichen Hong](https://md.research.elamur.ai/free/en/authors/qichen-hong/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5134162413) · [**h-index 1**](https://openalex.org/authors/A5134162413) · [9 works](https://openalex.org/works?filter=author.id:A5134162413) · [1 citations](https://openalex.org/works?filter=author.id:A5134162413&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zekun-yuan/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #11035](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11035)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2025–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zekun-yuan/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation](https://md.research.elamur.ai/free/en/papers/yuan-2026-culture-aware-machine-translation-large/)** *(2026 · 2 citations)* LLMs translate general text well, but little is known about how they handle culturally loaded content. The authors build CanMT, a parallel benchmark drawn from classic novels and their professional translations. It covers 12 directions among English, Chinese, Japanese, Spanish and Russian.
2. **[x1: Learning to Think Adaptively Across Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ye-2026-x1-learning-think-adaptively-across/)** *(2026 · 1 citation)* Most reasoning LLMs think mainly in one dominant language, usually English, even when a question is posed in another language or depends on a specific culture.

## Co-authors here

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

- [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) ×2
- [Dandan Tu](https://md.research.elamur.ai/free/en/authors/dandan-tu/) ×2
- [Qichen Hong](https://md.research.elamur.ai/free/en/authors/qichen-hong/) ×2
- [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/) ×2
- [Yangfan Ye](https://md.research.elamur.ai/free/en/authors/yangfan-ye/) ×2
- [Yunfei Lu](https://md.research.elamur.ai/free/en/authors/yunfei-lu/) ×2
- [Lei Huang](https://md.research.elamur.ai/free/en/authors/lei-huang/)
- [Weitao Ma](https://md.research.elamur.ai/free/en/authors/weitao-ma/)
- [Xiachong Feng](https://md.research.elamur.ai/free/en/authors/xiachong-feng/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 2 times (of the 149,439 papers whose bibliographies we read).

Updated 31 October 2026
