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Minh-Tien Nguyen

Minh-Tien Nguyen has 2 papers in our library, in 2026, most of them on Sentiment & emotion, Legal AI, Psycholinguistics & language acquisition.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 13 · 84 works · 556 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11216

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

🎓Hung Yen University of Technology and EducationHưng Yên · Vietnam2012–2026 · 72 paperscurrent🎓Japan Advanced Institute of Science and TechnologyNomi Shi · Japan2015–2023 · 17 papers
🏛️Cinnmon AIHanoi · Vietnam2018–2024Employment 2018–2024
🏛️Hung Yen University of Technology and Engineering (HYUTE)Hung Yen · Vietnam2022Employment since 2022 · Associate Professor, Faculty of Information Technology
🏛️Japan Advanced Institute of Science and Technology (JAIST)Nomi · Japan2015–2018Education 2015–2018 · PhD student, School of Information Science

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. CMTD: Cognitive Modeling with Traits and Distortions for Multimodal Emotion Recognition in Conversations (2026 · 2 citations)
    CMTD tackles multimodal emotion recognition in conversations (MERC). The authors argue that current systems read emotion too superficially and miss the psychological factors behind it. Their framework is a zero-shot, prompt-based multi-agent pipeline. It pairs long-lasting personality traits (Big Five), used as a…
  2. ViLegalLM: Language Models for Vietnamese Legal Text (2026)
    Vietnamese legal NLP has had few dedicated pretrained models. Earlier options were trained on small corpora (0.32–2.52GB), and some were adapted from instruction-tuned checkpoints, which risks losing capabilities. The authors present ViLegalLM, a set of three models continually pretrained on a new 16GB Vietnamese…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Lexical-Morphological Modeling for Legal Text Analysis ↗arXiv:1609.00799 · no summary yetDanilo S. Carvalho et al.2016 · 6 citations
  2. VLSP 2023 — LTER: A Summary of the Challenge on Legal Textual Entailment Recognition ↗arXiv:2403.03435 · no summary yetVu Tran et al.2024 · 1 citation

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 5 times (of the 149,439 papers whose bibliographies we read).

Updated

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