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Chaoqun Liu

Chaoqun Liu has 4 papers in our library, in 2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Lidong Bing, Hou Pong Chan, Anh Tuan Luu.

4 papers in our library · 2025

OpenAlex · ORCID · h-index 40 · 207 works · 7,081 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 160 times in our library · ⭐ Paper Stars ranking: #6877

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Guangxi Medical UniversityNanning · China2018–2026 · 22 paperscurrent🎓Henan UniversityKaifeng · China2012–2026 · 22 papersEmploymentcurrent🏢Alibaba GroupHangzhou · China2023–2026 · 8 paperscurrent🏥First Affiliated Hospital of Henan UniversityKaifeng · China2023–2026 · 5 paperscurrent🔬Changchun Institute of Applied ChemistryChangchun · China2015–2020 · 24 papers🏛️Chinese Academy of SciencesBeijing · China2015–2020 · 24 papers🔬State Key Laboratory of Rare Earth Resources UtilizationChangchun2015–2020 · 24 papers🎓Beijing University of Chinese MedicineBeijing · China2022–2025 · 19 papers🎓University of Chinese Academy of SciencesBeijing · China2015–2018 · 18 papers🎓Southern Medical UniversityGuangzhou · China2021–2025 · 12 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 work

🧭 Topics 6Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 1 workInformation retrieval & search · 1 workVision & language · 1 workReasoning · 1 work

 Works by year

2020s

20254 papers

 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 (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 (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 (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 (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.

Venues

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

 Cited by

Papers of our library cite their works 160 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

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