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Chien Van Nguyen

Chien Van Nguyen has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen.

4 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 5 · 22 works · 94 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 178 times in our library · ⭐ Paper Stars ranking: #5560

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

🏛️Vietnam Academy of Science and TechnologyHanoi · Vietnam2024–2026 · 3 paperscurrent🔬Viện Hóa họcHanoi · Vietnam2025–2026 · 2 paperscurrent🏛️Ho Chi Minh National Academy of PoliticsHanoi · Vietnam2026 · 1 papercurrent🎓Thu Dau Mot UniversityThu Dau Mot2026 · 1 papercurrent🎓University of Arkansas at FayettevilleFayetteville · United States2006–2008 · 3 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 4 worksLanguage and Linguistics · 4 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 4 worksMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages (2023 · 181 citations)
    Open LLMs are often released without their training corpora, and most open pretraining corpora are English-only.
  2. A Survey of Small Language Models (2024 · 31 citations)
    Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware.
  3. Lizard: An Efficient Linearization Framework for Large Language Models (2026 · 2 citations)
    Transformer LLMs become expensive on long inputs because softmax attention scales quadratically and the KV cache keeps growing during generation.
  4. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models (2026)
    The KV cache of a Transformer grows linearly with context length, so long-context inference becomes memory-bound.

 Co-authors here

12 of 20 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 178 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated

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