--- title: "Minh Chu Xuan — author profile and papers — Elamur Research" description: "Minh Chu Xuan: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/minh-chu-xuan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/minh-chu-xuan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Minh Chu Xuan # Minh Chu Xuan Minh Chu Xuan has 2 papers in our library, in 2026, 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/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Dinh Viet Sang](https://md.research.elamur.ai/free/en/authors/dinh-viet-sang/), [Linh Ngo Van](https://md.research.elamur.ai/free/en/authors/linh-ngo-van/), [Trung Le](https://md.research.elamur.ai/free/en/authors/trung-le/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5130372302) · [**h-index 0**](https://openalex.org/authors/A5130372302) · [4 works](https://openalex.org/works?filter=author.id:A5130372302) · [0 citations](https://openalex.org/works?filter=author.id:A5130372302&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/minh-chu-xuan/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/minh-chu-xuan/cited-by/) · [⭐ Paper Stars ranking: #13058](https://md.research.elamur.ai/free/en/paper-stars/page/131/#star-13058) 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=Minh+Chu+Xuan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Minh+Chu+Xuan) · [dblp](https://dblp.org/search?q=Minh+Chu+Xuan) · [ACL Anthology](https://aclanthology.org/search/?q=Minh+Chu+Xuan) ## 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [General Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 3 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Topic modeling · 2 works](https://md.research.elamur.ai/free/en/concepts/topic-modeling/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/minh-chu-xuan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-beyond-coherence-improving-temporal-consistency/)** *(2026 · 1 citation)* Dynamic topic models track how themes in timestamped collections appear, change and fade. The authors identify three weaknesses in current approaches. Encoders learn only from bag-of-words counts and ignore knowledge in pre-trained language models. Topics in neighbouring time slices are usually linked one-to-one, so… 2. **[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/)** *(2026)* Cross-lingual topic models try to find themes shared across languages. They depend on limited bilingual resources such as seed dictionaries, document embeddings or parallel corpora, so paired topics often drift apart in meaning. Earlier LLM-assisted methods either query the model for every document, which is costly… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Dinh Viet Sang](https://md.research.elamur.ai/free/en/authors/dinh-viet-sang/) ×2 - [Linh Ngo Van](https://md.research.elamur.ai/free/en/authors/linh-ngo-van/) ×2 - [Trung Le](https://md.research.elamur.ai/free/en/authors/trung-le/) ×2 - [Nguyen Thi Ngoc Diep](https://md.research.elamur.ai/free/en/authors/nguyen-thi-ngoc-diep/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/minh-chu-xuan/cited-by/). Updated 30 October 2026