NLP Enthusiast
Graduate Computer Science student specializing in Natural Language Processing and Machine Learning, with focus on Vietnamese language processing, question answering systems, and legal AI applications.
Hello! I'm Truong-Phuc Nguyen (you can call me Fook), a graduate Computer Science student specializing in Natural Language Processing and Machine Learning. My expertise spans across question answering systems, text generation, information retrieval, and Vietnamese language processing using both pre-trained language models and large language models.
Through my research and practical projects, I have successfully built proof-of-concept NLP systems, including legal QA platforms, educational question generation tools, and multilingual text processing pipelines. Currently seeking a position related to NLP where I can leverage my deep understanding of language models, text processing algorithms, and research experience.
Bachelor of Engineering in Computer Science (Talented Engineer Program)
September 2021 - June 2025
Biomedical Laboratory, Feng Chia University, Taiwan
Building a Multi-Agent System for the medical domain to extract patient information through conversations, generate follow-up questions to collect more patient information and create summary reports for the pre-medical examination stage for patients, to save examination time for doctors and improve the patient's experience during medical examination and treatment.
Advisor: Prof. Fang-Rong Hsu
NLU Laboratory, Hung Yen University of Technology and Education
Developing representation and generation models specifically for the legal domain in Vietnam through continual pretraining of language models on large datasets from four sources of authoritative legal documents in Vietnam. Legal pretrained models are trained on high-quality large-scale synthetic datasets, compared with base models and Vietnamese-specific models of the same size on the problems of Question Answering (True/False, Multiple-choice), Natural Language Inference, Text Classification.
Advisor: Assoc. Prof. Minh-Tien Nguyen
NLU Laboratory, UTEHY
Designed a framework combining multiple bi-encoders through query-specific confidence calculation, advanced dynamic weighting, and ensemble score fusion with cross-encoder reranker. Achieved 3rd place in Legal Information Retrieval task (F2-score: 0.8482, 7.51% improvement) and 2nd place in Legal Question Answering (97.56% accuracy). Paper accepted at ISAILD-KSE 2025.
Advisor: Assoc. Prof. Minh-Tien Nguyen
NLU Laboratory, UTEHY
Built an end-to-end legal QA system for Vietnamese, integrating information retrieval with answer generation. System processes legal queries, retrieves relevant legal articles, and generates accurate answers using state-of-the-art NLP techniques.
Advisor: Assoc. Prof. Minh-Tien Nguyen
NLU Laboratory, UTEHY
Developed a novel fine-tuning framework leveraging Question-Context-Answer relationships for enhancing legal information retrieval in low-resource settings. Average improvements of 3.9% and 4.8% in MAP@K. Published in Engineering Applications of Artificial Intelligence (WoS, Q1, IF: 8.0).
Advisor: Assoc. Prof. Minh-Tien Nguyen
NLU Laboratory, UTEHY
Pioneered Vietnamese Question-Answer Generation research in education domain by creating ViEduQA - the first comprehensive Vietnamese educational QAG dataset with 12,618 QA pairs across 319 lessons from 4 high school subjects. Published in SOICT 2024 (Springer CCIS).
Advisor: Assoc. Prof. Minh-Tien Nguyen
SmartChat - Smart AI Assistant for Vietnamese
Led comprehensive evaluation of large language models for production chatbot system, focusing on optimizing performance across multiple NLP tasks including document reranking, question rewriting, and content generation. Conducted systematic benchmarking of state-of-the-art models including GPT-4o-mini, Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro.
AI Assistant for Vietnam Ministry of Agriculture
Developed a comprehensive domain-specific chatbot system enabling intelligent question-answering capabilities over legal document collections and regulatory text corpora. Built innovative text-to-analytics functionality and designed a novel document chunking mechanism combining Depth-First Search (DFS) algorithms with advanced Regular Expression patterns.
Per-Title Encoding
Developed and optimized per-title encoding algorithms for video compression on the TV360 streaming platform. Implemented advanced analysis techniques to assess video complexity and dynamically adjust encoding parameters, achieving optimal balance between visual quality and file size.
Video Frame Interpolation
Designed and implemented advanced video frame interpolation systems to enhance motion smoothness for TV360 platform content delivery. Developed sophisticated interpolation algorithms using deep learning techniques to generate high-quality intermediate frames.
Video Quality Assessment for User Generated Content
Built comprehensive video quality assessment frameworks for evaluating and enhancing user-generated content on the TV360 platform using computer vision and machine learning techniques.
CS19TN, Hung Yen University of Technology and Education
Assisted in teaching Natural Language Processing course, guiding students through fundamental and advanced NLP concepts, helping with assignments and projects.
UTEHY-NLU Lab
Mentored students in NLP research projects, guiding them through literature review, experimental design, and paper writing.
UTEHY-NLU Lab
Guided students in deep learning fundamentals and applications, covering neural networks, CNNs, RNNs, and Transformers.
UTEHY-NLU Lab
Mentored students in machine learning concepts and practical applications, covering supervised and unsupervised learning algorithms.
July 2025
Top #2 in Legal Question Answering (0.9756 Accuracy) and Top #3 in Legal Information Retrieval (0.8482 F2-Score)
July 2024
Top #5 in Legal Question Answering task
November 2024
2021-2025
4 Academic Excellence & 8 Talented Program Scholarships - Consistently ranked #1
2021-2023
Two consecutive academic years
June 2025
June 2025
May 2025
March 2025
June 2024
April 2023
February 2022
nguyentruongphuc_12421tn@utehy.edu.vn
Feel free to reach out for collaborations, research opportunities, or just to connect!