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Pham Phu Hoa

Pham Phu Hoa has 2 papers in our library, in 2026, most of them on Semitic languages; often with Duy Minh Dao Sy, Nguyen Chi Tran, Nguyen Dinh Ha Duong.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 0 · 9 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12179

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

🎓Ho Chi Minh City University of ScienceHo Chi Minh City · Vietnam2023–2026 · 7 papersEducation since 2023 · Artificial Intelligencecurrent🎓Vietnam National University Ho Chi Minh CityHo Chi Minh City · Vietnam2025–2026 · 6 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 1Research subjects and languages the work is about.Semitic languages · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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.

 Co-authors here

5 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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