Nguyen Thanh Do

Nguyen Thanh Do

About

Hello, my name is Nguyen Thanh Do (Nguyễn Thành Đô). I will be joining the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU) as a Ph.D. student in Spring 2026, under the advisement of Prof. Sean Du.

I received my Bachelor's degree in Information Technology from VNU - University of Engineering and Technology, where I worked closely with Prof. Phan Xuan Hieu and Dr. Vuong Thi Hai Yen. Prior to pursuing graduate studies, I spent three years conducting NLP research and developing applications at Viettel AI. During this time, I worked under the guidance of Dr. Bui Khac Hoai Nam, with whom I maintained productive research collaborations.

My current research interests focus on reliable foundation models and their applications, specifically mitigating malicious behavior and understanding hallucination in large language models and multimodal models. Besides research, I am passionate about low-level programming and eager to deepen my understanding of how ML systems work in practice.

Education

Ph.D. in Computer Science

Jan. 2026
Nanyang Technological University, Singapore

B.Sc in Information Technology

2019 – 2023
VNU University of Engineering and Technology, Hanoi

Publications

ACL 2025 ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM
Pham, V.H*., Nguyen, T.D*., Bui, K.H.N.
NAACL 2024 Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation
Pham, V.H., Nguyen, T.D., Bui, K.H.N.
CoNLL 2024 A Novel Instruction Tuning Method for Vietnamese Math Reasoning using Trainable Open-Source Large Language Models
Nguyen, Q.V*., Nguyen, T.D*., Bui, K.H.N., Nguyen, V.V.
PACLIC 2023 Passage-based BM25 Hard Negatives: A Simple and Effective Negative Sampling Strategy For Dense Retrieval
Nguyen, T.D., Bui, C.M., Vuong, T.H.Y., Phan, X.H.

Work Experience

Research Assistant in Artificial Intelligence

Fulbright Uni, HCMC | Sep. 2025 – Jan. 2026

Doing research in the intersection of Artificial Intelligence and Computational Biology, exploring how LLMs can help accelerate progress in biology research.

Artificial Intelligence Researcher

Viettel AI, Hanoi | Nov. 2022 – Sep. 2025

Conducting applied research in semantic search, mathematical reasoning with LLMs, model merging techniques, and agentic frameworks. Contributing significantly to the development of multiple Vietnamese language models (upto 70B parameters). Building retrieval-augmented generation (RAG) applications for in-house services, incorporating document search and answer generation/extraction

Projects

Flash Attention in Triton

This repo implements forward pass of FlashAttention-2 paper, which computes attention by tiles and avoids ever explicitly materializing full attention score matrices, enabling scaling to much longer sequence lengths.