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publications
Personalization for Robust Voice Pathology Detection in Sound Waves
Khanh-Tung Tran, Truong Hoang, Duy-Khuong Nguyen, Hoang D. Nguyen, Xuan-Son Vu
Interspeech, 2023
[paper] [code] [blog] [slide] [talk]
ViGPTQA — State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations
Minh-Thuan Nguyen*, Khanh-Tung Tran*, Nhu Van Nguyen, Xuan-Son Vu
EMNLP Industry Track, 2023
[paper] [code] [blog] [slide] [talk]
NeuProNet: Neural Profiling Networks for Sound Classification
Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Hoang D. Nguyen
Neural Computing and Applications, 2024
[paper] [code] [blog] [slide] [talk]
MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran, Truong-Son Hy, Lili Jiang, Xuan-Son Vu
Scientific Reports, 2024
[paper] [code] [blog] [slide] [talk]
Irish-based Large Language Model with Extreme Low-Resource Settings in Machine Translation
Khanh-Tung Tran, Barry O’Sullivan, Hoang D. Nguyen
LoResMT (ACL Workshop), 2024
[paper] [code] [blog] [slide] [talk]
UCCIX: Irish-eXcellence Large Language Model
Khanh-Tung Tran, Barry O’Sullivan, Hoang D. Nguyen
ECAI, 2024
[paper] [code] [blog] [slide] [talk]
Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting
Khanh-Tung Tran*, Hang Vu*, Barry O’Sullivan, Hoang D. Nguyen
EMNLP, 2025
[paper] [code] [blog] [slide] [talk]
Reasoning Transfer for an Extremely Low-resource and Endangered Language: Bridging Languages through Sample-Efficient Language Understanding
Khanh-Tung Tran, Barry O’Sullivan, Hoang D. Nguyen
AAAI, 2026
[paper] [code] [blog] [slide] [talk]
IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
Khanh-Tung Tran, Duc-Hai Nguyen, Barry O’Sullivan, Hoang D. Nguyen
KDD, 2026
[paper] [code] [blog] [slide] [talk]