Publications
I am an early-stage researcher working at the
intersection of theory and practice in modern NLP
systems. My work is driven by the goal of building
research artifacts that are
scientifically rigorous, empirically sound, and
practically grounded, with careful evaluation across diverse real-world
scenarios. I actively work toward producing
high-quality research contributions and contributing
to the NLP community through publications at leading
international venues.
2026
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Quy T. Nguyen*, Long S. T. Nguyen*, and Tho
T. Quan.
Morphological Strategies of Word Formation in
Bahnar: A Study of Prefixes and Infixes.
Taiwan Journal of Linguistics, 2026.
(ESCI, Q3)
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Mao Nguyen, Thien Pham,
Long S. T. Nguyen, Dang Le, Trung M. Pham,
Hieu M. Pham, Duc Q. Nguyen, Xinh Le, Anh H.
Huynh, Triet T. M. Le, and Tho T. Quan.
Conceptual Relationship Between Classical
Machine Learning and Graph Neural Networks in
Out-of-Distribution Detection: A Comprehensive
Survey.
IEEE Access, 2026.
(SCIE, Q1)
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Long S. T. Nguyen, Tin T. Ngo, Dung N. H.
Le, Quynh T. N. Vo, Dung H. Nguyen, Khang N. Le,
and Tho T. Quan.
A Benchmark for Structured Multihop Reasoning
in Cross-Institution University Admission
Advisory Question Answering.
Workshop on Autonomous Machine Intelligence: From
Theory to Practice (AMI), at PAKDD, 2026.
(Workshop at B-ranked Conference)
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Quoc Phu Dang*, Phat T. Tran-Truong*, Duc-Ly Vu,
Long S. T. Nguyen, Quynh T. N. Vo, and Tho
T. Quan.
Enhancing Large Language Model Performance for
Automatic Zero-Shot Multiple-Choice Question
Answering via Single-Token Logit Prompting.
Computers and Education: Artificial Intelligence,
2026.
(SCIE, Q1, #1 in Education)
[pdf] [bib] [website]
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Long S. T. Nguyen*, Quan M. Bui*, Tin T.
Ngo, Quynh T. N. Vo, Dung N. H. Le, and Tho T.
Quan.
ViHERMES: A Graph-Grounded Multihop Question
Answering Benchmark and System for Vietnamese
Healthcare Regulations.
Asian Conference on Intelligent Information and
Database Systems (ACIIDS), 2026.
(B-ranked Conference)
(Best Student Paper Nomination)
[pdf] [bib] [website]
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Long S. T. Nguyen and Tho T. Quan.
Which Works Best for Vietnamese? A Practical
Study of Information Retrieval Methods across
Domains.
Conference of the European Chapter of the
Association for Computational Linguistics (EACL),
2026.
(A-ranked Conference)
[pdf] [bib] [website]
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Hung Luu, Long S. T. Nguyen, Trung Pham,
Hieu Pham, and Tho Quan.
HiGraAgent: Dual-Agent Adaptive Reasoning over
Hierarchical Knowledge Graph for Open-Domain
Multi-hop Question Answering.
Conference of the European Chapter of the
Association for Computational Linguistics (EACL),
2026.
(A-ranked Conference)
[pdf] [bib] [website]
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Long Nguyen, Duc Nguyen, Quan Bui, Dung
Phan, Dung Le, Khanh Nguyen, Quynh Vo, Khang Vo,
Nam Duong, Anh Dinh, Tri Trinh, Chi Phan, An
Nguyen, Thai Nguyen, Dang Le, Vinh Dang, and Tho
Quan.
Catching the First Light of Tomorrow: A
Hackathon-Based Framework for Introducing High
School Students to AI Agents.
AAAI Conference on Artificial Intelligence (AAAI),
2026.
(A*-ranked Conference)
[pdf] [bib] [website]
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Dung T. Phan*, Chi N. L. Phan*,
Long S. T. Nguyen*, Phuc T. Dao, Quan M.
Bui, Tin T. Ngo, Thi T. Nguyen, and Tho T. Quan.
MAFIA-NeT: Multi-Agent Framework for
Interactive Agricultural Negotiation and Trading
Systems.
International Conference on Agents and Artificial
Intelligence (ICAART), 2026.
(B-ranked Conference)
(Selected for Post-Publication)
[pdf] [bib] [website]
2025
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Long S. T. Nguyen, Quynh T. N. Vo, Thi T.
Nguyen, and Tho T. Quan.
URAG 2.0: An Agentic Dual Retrieval Framework
for Enhanced Reasoning in RAG-based QA
Systems.
Symposium on Information and Communication
Technology (SoICT), 2025.
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Tai Q. To*, Long S. T. Nguyen*, Hung C.
Nguyen, Nguyen B. Le, Tam M. Nguyen, Tung T.
Nguyen, Chattrakul Sombattheera, and Tho T. Quan.
AI Conferences Made Easy by AI - A Case Study
at MIWAI 2025.
IEEE-RIVF International Conference on Computing
and Communication Technologies (RIVF), 2025.
[pdf] [bib] [website]
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Long S. T. Nguyen, Quynh T. N. Vo, Hung C.
Luu, and Tho T. Quan.
When in Doubt, Ask First: A Unified Retrieval
Agent-Based System for Ambiguous and
Unanswerable Question Answering.
International Joint Conference on Natural Language
Processing & Asia-Pacific Chapter of the
Association for Computational Linguistics
(IJCNLP-AACL), 2025.
(B-ranked Conference)
[pdf] [bib] [website]
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Long S. T. Nguyen, Hung C. Luu, Quynh T. N.
Vo, Hy N. G. La, Hoai M. Tran, Anh T. D. Dinh,
Tuan H. Nguyen, Tri N. Ho, and Tho T. Quan.
Can Small Language Models Handle Vietnamese
Legal Reasoning? Insights from Multi-Task
Evaluation.
Workshop on Vietnamese Language and Speech
Processing (VLSP), at INLG, 2025.
[pdf] [bib] [website]
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Long S. T. Nguyen*, Khang H. N. Vo*, Thu H.
A. Nguyen*, Tuan C. Bui, Duc Q. Nguyen, Thanh-Tung
Tran, Anh D. Nguyen, Minh L. Nguyen, Fabien
Baldacci, Thang H. Bui, Emanuel Di Nardo, Angelo
Ciaramella, Son H. Le, Ihsan Ullah, Lorenzo Di
Rocco, and Tho T. Quan.
Bridging LLMs and Symbolic Reasoning in
Educational QA Systems: Insights from the XAI
Challenge at IJCNN 2025.
Italian Conference on Big Data and Data Science
(ITADATA), 2025.
[pdf] [bib] [website]
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Tuan Bui, An Nguyen, Phat Thai, Minh Hua, Ngan L.
N. Pham, Ngan T. B. Pham, Dung Le,
Long Nguyen, Thanh-Tung Tran, Thang Bui,
and Tho Quan.
Formal Reasoning for Intelligent QA Systems: A
Case Study in the Educational Domain.
ACM Workshop on AI-powered Question & Answering
Systems (AIQAM), at ACMMM, 2025. ️(Workshop at A*-ranked Conference)
[pdf] [bib] [website]
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Long S. T. Nguyen, Truong P. Hua, Thanh M.
Nguyen, Toan Q. Pham, Nam K. Ngo, An X. Nguyen,
Nghi D. M. Pham, Nghia H. Nguyen, and Tho T. Quan.
A Benchmark Dataset and Evaluation Framework
for Vietnamese Large Language Models in Customer
Support.
International Conference on Computational
Collective Intelligence (ICCCI), 2025.
(B-ranked Conference)
[pdf] [bib] [website]
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Duc Nguyen, Dong Le, Long Nguyen, Quyen Vu,
Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen,
Phat Tran, Dang Le, Sang Truong, Sanmi Koyejo,
Cuong Le, and Tho Quan.
Riding on The Back of A Whale: A Hackathon
Framework for Introducing High School Students
to Large Language Models.
Conference on Artificial Intelligence in Education
(AIED), 2025.
(A-ranked Conference)
[pdf] [bib] [website]
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Long S. T. Nguyen, Tran T. B. Le, Huong P.
N. Nguyen, Quynh T. N. Vo, Phong H. N. Nguyen, and
Tho T. Quan.
Serving the Underserved: Leveraging BARTBahnar
Language Model for Bahnaric-Vietnamese
Translation.
Workshop on Language Models for Underserved
Communities (LM4UC), at NAACL, 2025.
(Workshop at A-ranked Conference)
[pdf] [bib] [website]
2024
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Long S. T. Nguyen and Tho T. Quan.
URAG: Implementing a Unified Hybrid RAG for
Precise Answers in University Admission Chatbots
– A Case Study at HCMUT.
Symposium on Information and Communication
Technology (SoICT), 2024.
[pdf] [bib] [website]
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Long S. T. Nguyen*, Huy G. Nguyen*, Bao G.
Khuu, Huy A. T. Luu, Huy Q. Le, Tuan T. Nguyen,
and Tho T. Quan.
RAPID: Retrieval-Augmented Parallel Inference
Drafting for Text-Based Video Event
Retrieval.
Symposium on Information and Communication
Technology (SoICT), 2024.
[pdf] [bib] [website]
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Tuan Bui, Oanh Tran, Phuong Nguyen, Bao Ho,
Long Nguyen, Thang Bui, and Tho Quan.
Cross-Data Knowledge Graph Construction for
LLM-enabled Educational Question-Answering
System: A Case Study at HCMUT.
ACM Workshop on AI-Powered Q&A Systems for
Multimedia (AIQAM), at ICMR, 2024.
[pdf] [bib] [website]
non-archival
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Long S. T. Nguyen, Dat T. Truong, Nhan D.
Tran, Quynh T. N. Vo, Quy T. Nguyen, and Tho T.
Quan.
Not All Data Augmentation Works: A
Typology-Aware Study for Low-Resource Neural
Machine Translation in Vietnamese Ethnic
Minority Languages.
Workshop on Language Models for Underserved
Communities (LM4UC), at AAAI, 2026.
(Workshop at A*-ranked Conference)
[pdf] [bib] [website]
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Thi Ty Nguyen, Phat T. Tran-Truong,
Long S. T. Nguyen, Tan Sang Nguyen, and Tho
T. Quan.
Sentence-Aware Bahnaric-Vietnamese Lexical
Mapping with Contrastive Contextual
Representations.
Workshop on Language Models for Underserved
Communities (LM4UC), at AAAI, 2026.
(Workshop at A*-ranked Conference)
[pdf] [bib] [website]