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Van Bach Nguyen

Van Bach Nguyen has 2 papers in our library, in 2026, most of them on Language models & pretraining, Sentiment & emotion, Multilingual & cross-lingual NLP; often with Christin Seifert, Hinrich Schuetze, Jörg Schlötterer.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 6 · 17 works · 106 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12262

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

🎓Philipps University of MarburgMarburg · Germany2023–2026 · 10 paperscurrent🎓University of Duisburg-EssenEssen · Germany2022–2023 · 4 papers

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

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Interpretability · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective (2026)
    The paper asks what happens inside a language model when it rewrites a text so that its sentiment flips (positive to negative or the reverse) while the rest of the wording stays as close as possible to the original.
  2. Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation (2026)
    Counterfactual explanations are small edits to an input that flip a classifier's prediction. LLMs produce them well in English, but their quality in other languages had not been studied. To examine this, the authors evaluate three open instruction-tuned LLMs on XNLI and SIB200, two multilingual classification…

 Co-authors here

8 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.

Updated

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