Quan Nguyen

Quan Nguyen has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Sentiment & emotion, Efficient models & compression; often with Xuan-Son Vu.

2 papers in our library · 2023–2026

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

Affiliations

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

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

VinaLLaMA: LLaMA-based Vietnamese Foundation Model (2023 · 16 citations)
Open LLMs such as LLaMA-2 handle Vietnamese poorly because their training data contains few Vietnamese tokens and their tokenizers are not designed for the language.
Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis (2026)
Large language models are costly to run. This work asks how a compact model can absorb the reasoning skills of several larger ones for sentiment analysis, especially the harder aspect-based variant (ABSA). The authors propose Reason-to-Learn (R2L), a distillation pipeline built around a group of heterogeneous teacher…

1 co-author with a page, the most papers together first.

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

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 30 October 2026