---
title: "Huu Nguyen — author profile and papers"
description: "Huu Nguyen: 2 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/huu-nguyen/"
---
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# Huu Nguyen

2 papers on this site · 2023–2024

Huu Nguyen has 2 papers on this site, in 2023–2024, 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/); often with [Albert Villanova del Moral](https://md.research.elamur.ai/free/en/authors/albert-villanova-del-moral/), [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/), [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/).

No OpenAlex profile matched yet.

[2 works on this site](https://md.research.elamur.ai/free/en/authors/huu-nguyen/#papers) · [296 citations in our library](https://md.research.elamur.ai/free/en/authors/huu-nguyen/cited-by/)

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

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)** *(2024 · 247 citations)* Many leading LLMs are trained on data whose sources and cleaning steps are never disclosed. This makes open research on pretraining corpora slow and hard to replicate. The authors respond with two public releases. RedPajama-V1 rebuilds the LLaMA-1 training mixture from its brief published description and records…
2. **[The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset](https://md.research.elamur.ai/free/en/papers/lauren-2023-ccon-bigscience-roots-corpus-1-6tb/)** *(2023 · 145 citations)* Training large language models requires huge text collections. Most such corpora are never published, and multilingual ones are especially scarce and poorly documented. This paper describes how the BigScience workshop built ROOTS (Responsible Open-science Open-collaboration Text Sources). BigScience was a year-long…

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Albert Villanova del Moral](https://md.research.elamur.ai/free/en/authors/albert-villanova-del-moral/)
- [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/)
- [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/)
- [Chenghao Mou](https://md.research.elamur.ai/free/en/authors/chenghao-mou/)
- [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/)
- [Daniel Fu](https://md.research.elamur.ai/free/en/authors/daniel-fu/)
- [Hugo Laurençon](https://md.research.elamur.ai/free/en/authors/hugo-lauren-ccon/)
- [Leandro Von Werra](https://md.research.elamur.ai/free/en/authors/leandro-von-werra/)
- [Lucile Saulnier](https://md.research.elamur.ai/free/en/authors/lucile-saulnier/)
- [Quentin Anthony](https://md.research.elamur.ai/free/en/authors/quentin-anthony/)
- [Rahul Chalamala](https://md.research.elamur.ai/free/en/authors/rahul-chalamala/)
- [Teven Le Scao](https://md.research.elamur.ai/free/en/authors/teven-le-scao/)

## Cited by

Papers of our library cite their works 296 times (of the 140 884 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huu-nguyen/cited-by/).