Nguyen Chi Tran
Nguyen Chi Tran has 4 papers in our library, in 2026, most of them on Semitic languages, Information retrieval & search; often with Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Dinh Ha Duong.
OpenAlex · h-index 1 · 8 works · 9 citations OpenAlex, 2026-10-14
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workEngineering · 1 workMedia Technology · 1 work
🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksInformation retrieval & search · 1 work
Works by year
2020s
Papers
- HCMUS_PrompterXPrompter at AbjadMed: When Classification Meets Retrieval: Taming the Long Tail in Arabic Medical Text Classification (2026)
This paper describes a system for the ABJAD-NLP Shared Task at EACL 2026. The task is to sort Arabic medical consultations, written as question–answer pairs, into 82 topic labels. The data is very unbalanced: the largest class has 600 examples and the smallest only 7. Because scoring uses macro-F1, rare labels count… - HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer (2026)
The paper presents the top-ranked system in the AbjadStyleTransfer shared task (ArabicNLP 2026). The task is to rewrite formal Modern Standard Arabic so that it reads like a given literary author. The team's data analysis showed that none of the 21 test authors, among them Naguib Mahfouz, Taha Hussein and Khalil… - HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text Detection (2026)
The paper describes the first-place system in the AbjadGenEval shared task. The task is binary classification of Arabic news texts as written by a human or produced by an LLM (GPT-3.5, GPT-4, Claude). The training data is heavily skewed toward machine text: 36,182 machine samples against 5,621 human ones. - HCMUS_TheFangs at NakbaArchiveClassifier Shared Task: Foundation Models and Advanced Training Strategies for Conflict Damage Classification (2026)
This paper describes the top-ranked submission to the Nakba-NLP 2026 shared task called NakbaArchiveClassifier.
Co-authors here
- Duy Minh Dao Sy ×4
- Trung Kiet Huynh ×4
- Nguyen Dinh Ha Duong ×3
- Nguyen Lam Phu Quy ×2
- Pham Phu Hoa ×2
- Phu Quy Nguyen Lam ×2
- Phu Hoa Pham
Venues
- Workshop on NLP for Languages Using Arabic Script ×3: Workshop on NLP for Languages Using Arabic Script 2026 ×3
- International Workshop on Nakba Narratives as Language Resources @ LREC: International Workshop on Nakba Narratives as Language Resources @ LREC 2026
Updated
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