🧑‍🔬 Dang Van Thin

🏛️ Affiliations

🎓University of Information TechnologyHo Chi Minh City · Vietnam2018–2026 · 30 papersEducation · Master, Multimedia Communications LaboratoryEmployment since 2018 · Researcher, Multimedia Communications Laboratorycurrent🎓Vietnam National University Ho Chi Minh CityHo Chi Minh City · Vietnam2018–2026 · 30 paperscurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. CITD@UIT at SemEval-2026 Task 4: Structured Reasoning and Metric Specialization for Narrative Similarity (2026 · 1 citation)
   This paper describes the CITD@UIT entry to SemEval-2026 Task 4, which asks whether systems can judge how similar stories are in narrative terms rather than in wording.
2. Gradient Descenders at DeSegMa-IT: Leveraging Monolingual Transformer for LLM-Generated Text Detection and Boundary Identification (2026 · 1 citation)
   The authors (team Gradient Descenders) took part in the DeSegMa-IT shared task at EVALITA 2026, which covers machine-generated text (MGT) in Italian.
3. PuDy at FadeIT: Enhancing Fine-Grained Fallacy Detection with Hierarchy-Aware Training and Contextual Enrichment (2026 · 1 citation)
   The paper presents the top-ranked system in FadeIT's Subtask B, a shared task held at EVALITA 2026. The task is to locate and label fallacious text spans in Italian social media posts, where spans can overlap and labels follow a hierarchical taxonomy. Training data are scarce, and scoring uses Soft F1, which gives…
4. Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token Classification for MGT Detection and Boundary Localization (2026 · 1 citation)
   This paper describes the Stochastic Gradient Descenders system for DeSegMa-IT (EVALITA 2026), a shared task on detecting machine-generated text (MGT) in Italian.
5. Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type Classification (2026 · 1 citation)
   The paper describes a system for SemEval-2026 Task 9 (POLAR), Subtask 2, English track. The task is multi-label classification of social media posts into five polarization types: political/ideological, racial/ethnic, religious, gender/sexual and other. The main difficulty is strong label imbalance. Some categories…
6. TrietNLP at ATE-IT: A Hybrid Pipeline for Italian Waste Management Terminology Analysis (2026 · 1 citation)
   The paper presents TrietNLP, a system the authors built to compete in EVALITA's ATE-IT 2025 shared task. The task targets terminology in Italian municipal solid waste management texts, such as regulations, notices and administrative acts. The two subtasks are handled by separate pipelines.
7. Baoflowin502 at MAHED Shared Task: Text-based Hate and Hope Speech Classification (2025 · 1 citation)
   The paper addresses three-way classification of Arabic social media posts into hate speech, hope speech, or not-applicable for the MAHED shared task.
8. LoveHeaven at MAHED 2025: Text-based Hate and Hope Speech Classification Using AraBERT-Twitter Ensemble (2025 · 1 citation)
   The paper describes a text-only system for Sub-task 1 of the MAHED 2025 shared task at ArabicNLP 2025. The task is to label short Arabic social-media posts, in MSA or dialect, as hate, hope, or not_applicable, and systems are scored by macro-F1. The authors fine-tune aubmindlab/bert-base-arabertv02-twitter, an…
9. Gradient Descenders at SemEval-2026 Task 9: Data-Centric Counterfactual Augmentation for Multi-Label Hate Speech Detection (2026)
   The paper describes the Gradient Descenders system for SemEval-2026 Task 9 Subtask 2. The task is multi-label hate speech detection over five categories: political, racial/ethnic, religious, gender/sexual and other. The authors used only the English data, which has two problems. Political content strongly dominates…

All works

10 works of theirs in our library, the most cited first; 9 with a page here, the others link their original until we summarise them.

1. CITD@UIT at SemEval-2026 Task 4: Structured Reasoning and Metric Specialization for Narrative SimilarityInternational Workshop on Semantic Evaluation (SemEval)Thach Nguyen, Duc-Vu Nguyen, Dang Thin2026 · 1 citation
2. Gradient Descenders at DeSegMa-IT: Leveraging Monolingual Transformer for LLM-Generated Text Detection and Boundary IdentificationEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopTran Phuoc Thanh Nhan, Bui Hong Son, Dang Van Thin2026 · 1 citation
3. PuDy at FadeIT: Enhancing Fine-Grained Fallacy Detection with Hierarchy-Aware Training and Contextual EnrichmentEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopDuy Dang Phu, Son Bui Hong, Dang Van Thin2026 · 1 citation
4. Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token Classification for MGT Detection and Boundary LocalizationEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopHuynh Nguyen Phu, Bui Hong Son, Dang Van Thin2026 · 1 citation
5. Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type ClassificationInternational Workshop on Semantic Evaluation (SemEval)Huynh Phu, Dang Thin2026 · 1 citation
6. TrietNLP at ATE-IT: A Hybrid Pipeline for Italian Waste Management Terminology AnalysisEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopNguyen Minh Triet, Dang Van Thin2026 · 1 citation
7. Baoflowin502 at MAHED Shared Task: Text-based Hate and Hope Speech ClassificationArabic Natural Language Processing Conference (ArabicNLP)Nguyen Minh Bao, Dang Van Thin2025 · 1 citation
8. LoveHeaven at MAHED 2025: Text-based Hate and Hope Speech Classification Using AraBERT-Twitter EnsembleArabic Natural Language Processing Conference (ArabicNLP)Nguyễn Thiên Bảo, Dang Van Thin2025 · 1 citation
9. Gradient Descenders at SemEval-2026 Task 9: Data-Centric Counterfactual Augmentation for Multi-Label Hate Speech DetectionInternational Workshop on Semantic Evaluation (SemEval)Tran Phuoc Thanh Nhan, Dang Van Thin2026
10. ViKhoMT: A Vietnamese–K'Ho Neural Machine Translation Dataset and Evaluation for Community Health Communication ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetTram Truong et al.2026

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Bui Hong Son ×2
• Tran Phuoc Thanh Nhan ×2
• Duc-Vu Nguyen
• Duy Dang Phu
• Nguyen Minh Triet

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop ×4: Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop 2026 ×4
• International Workshop on Semantic Evaluation (SemEval) ×3: SemEval 2026 ×3
• Arabic Natural Language Processing Conference (ArabicNLP) ×2: ArabicNLP 2025 ×2
• Proceedings of the Fifteenth Language Resources and Evaluation Conference

🔗 Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

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