---
title: "Chaoqun Liu — author profile and papers — Elamur Research"
description: "Chaoqun Liu, Guangxi Medical University: 4 papers on Elamur Research (2025), h-index 40 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/chaoqun-liu/"
---
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# Chaoqun Liu

Chaoqun Liu has 4 papers in our library, in 2025, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Hou Pong Chan](https://md.research.elamur.ai/free/en/authors/hou-pong-chan/), [Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/).

4 papers in our library · 2025

[OpenAlex](https://openalex.org/A5102973309) · [ORCID](https://orcid.org/0000-0001-8090-1033) · [**h-index 40**](https://openalex.org/authors/A5102973309) · [207 works](https://openalex.org/works?filter=author.id:A5102973309) · [7,081 citations](https://openalex.org/works?filter=author.id:A5102973309&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/#papers) · [🔗 Cited 160 times in our library](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/cited-by/) · [⭐ Paper Stars ranking: #7998](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7998)

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

## Affiliations

[🎓**Guangxi Medical University** Nanning · China 2018–2026 · 22 papers*current*](https://ror.org/03dveyr97) · [🎓**Henan University** Kaifeng · China 2012–2026 · 22 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/henan-university/) · [🏢**Alibaba Group** Hangzhou · China 2023–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏥**First Affiliated Hospital of Henan University** Kaifeng · China 2023–2026 · 5 papers*current*](https://ror.org/0536rsk67) · [🔬**Changchun Institute of Applied Chemistry** Changchun · China 2015–2020 · 24 papers](https://ror.org/00h52n341) · [🏛️**Chinese Academy of Sciences** Beijing · China 2015–2020 · 24 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**State Key Laboratory of Rare Earth Resources Utilization** Changchun 2015–2020 · 24 papers](https://ror.org/03en4sq15) · [🎓**Beijing University of Chinese Medicine** Beijing · China 2022–2025 · 19 papers](https://ror.org/05damtm70) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2015–2018 · 18 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Southern Medical University** Guangzhou · China 2021–2025 · 12 papers](https://ror.org/01vjw4z39)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 47 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 6 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-is-translation-all-you-need/)** *(2025 · 61 citations)* The paper examines whether translating non-English input into English is consistently the best way to get good multilingual results from LLMs.
2. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/)** *(2025 · 21 citations)* Question answering over real-world documents is difficult for large multimodal models. Such documents can run to hundreds of pages and mix text, figures and tables. Earlier benchmarks mostly used documents under 50 pages and short extractive answers.
3. **[Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers](https://md.research.elamur.ai/free/en/papers/zhao-2025-babel-open-multilingual-large-language/)** *(2025 · 8 citations)* Open multilingual LLMs tend to favor languages with abundant web text, such as French or German. Populous but data-poor languages like Hindi, Bengali or Urdu remain underserved. Babel, from Alibaba's DAMO Academy, targets the 25 languages with the most speakers, which together cover roughly 7 billion people.
4. **[FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving](https://md.research.elamur.ai/free/en/papers/chen-2025-finereason-evaluating-improving-llms-deliberate/)** *(2025 · 6 citations)* Most reasoning benchmarks for LLMs score only the final answer. They do not show whether a model can examine its intermediate steps, notice a dead end, and recover from it. FineReason fills this gap with logic puzzles that break down into small verifiable steps. It covers four puzzle types: Sudoku, Graph Coloring…

## Co-authors here

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

- [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×4
- [Hou Pong Chan](https://md.research.elamur.ai/free/en/authors/hou-pong-chan/) ×3
- [Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/) ×2
- [Deli Zhao](https://md.research.elamur.ai/free/en/authors/deli-zhao/) ×2
- [Mahani Aljunied](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/) ×2
- [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/) ×2
- [Yiran Zhao](https://md.research.elamur.ai/free/en/authors/yiran-zhao/) ×2
- [Yu Rong](https://md.research.elamur.ai/free/en/authors/yu-rong/) ×2
- [Guizhen Chen](https://md.research.elamur.ai/free/en/authors/guizhen-chen/)
- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/)
- [Jiahao Ying](https://md.research.elamur.ai/free/en/authors/jiahao-ying/)
- [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)

## Cited by

Papers of our library cite their works 160 times (of the 149,439 papers whose bibliographies we read); [57 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/cited-by/).

Updated 2 November 2026
