Vo Hoang Nhat Khang (Chris) - PhD Student in NLP

Vo Hoang Nhat Khang (Chris)

Doctor of Philosophy Student in Computing & Mathematical Sciences Division, Specializing in NLP

Researching vision-language models and NLP at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). I am currently a visiting scholar at the National University of Singapore (NUS), working with Professor Anji Liu on uncertainty quantification and hallucination detection in vision-language models, while also exploring diffusion-based vision-language models.

I graduated in Computer Science from Ho Chi Minh City University of Technology - Vietnam National University (HCMUT-VNU) in an accelerated 3.5 years, and I am now pursuing a PhD in Computing & Mathematical Sciences Division, specializing in NLP at MBZUAI. Throughout my undergraduate journey under the guidance of Assoc. Prof. Dr. Tho T. Quan, I built strong foundations in Machine Learning, Deep Learning, and Multimodal Analysis, with programming experience in Python, C++, and Java.

My current interests focus on vision-language models, uncertainty quantification, hallucination detection, diffusion-based vision-language models, and multimodal learning.

News

A running log of papers, places, and proof that I occasionally leave my desk.

Khang at the National University of Singapore campus Khang having lunch with colleagues at NUS

Visiting Scholar at NUS

Started working at the National University of Singapore (NUS) with Professor Anji Liu on uncertainty quantification and hallucination detection in vision-language models, while also exploring diffusion-based vision-language models.

HuTieuBERT architecture with adaptive interpolation, BMES embeddings, and structural attention bias

Paper Accepted to ACL 2026

When Morphology Hides in Plain Sight: Breaking the Isolation in Vietnamese and Beyond will be presented as a poster at the ACL 2026 Main Conference.

Khang with Professor Timothy Baldwin at MBZUAI Khang with Dr. Yova Kementchedjhieva at MBZUAI

Began PhD at MBZUAI

Working under the guidance of Professor Timothy Baldwin and Dr. Yova Kementchedjhieva, focusing on uncertainty in multimodal learning and vision-language models.

Selected Research Publications

A few papers that escaped my laptop and made it into the world.

MERIT framework using error-typed retrieval and dual-polarity episodic memory for iterative Text-to-SQL repair
2026

Causal Episodic Memory for Feedback-Driven Agent Repair

Khang Nhat Hoang Vo, Tam Minh Chu, Anh Trac Duc Dinh, Thuyen Vinh Ha Bui, Tho Quan

arXiv · 2026

Comparison of constrained image patch prediction and ambiguous linguistic alternatives in JEPA models
2026

The JEPA Paradox in Language: The Geometry of Linguistic Alternatives

Anh Trac Duc Dinh*, Khang Nhat Hoang Vo*

* Equal contribution.

arXiv · 2026

2026

Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung

Anh Trac Duc Dinh*, Khang Nhat Hoang Vo*, Vinh Cong Doan, Tai Tien Ta, Khoa Duc Anh Lam

* Equal contribution.

arXiv · 2026

2026

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models

Khang Nhat Hoang Vo, Artem Vazhentsev, Artem Shelmanov, Timothy Baldwin, Yova Kementchedjhieva

arXiv · 2026

Two-day AI Agent Hackathon agenda mapped to learning outcomes
2026

Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents

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, Tho Quan

AAAI Press · Feb 1, 2026

Contrastive learning architecture aligning lumbar MRI images with diagnostic reports
2025

Revolutionizing Precise Low Back Pain Diagnosis via Contrastive Learning

Thanh Binh Le*, Hoang Nhat Khang Vo*, Tan-Ha Mai, Trong Nhan Phan

* Equal contribution.

Springer · Dec 31, 2025

VIEACT-TTS-VC architecture with monotonic alignment search and stochastic duration prediction
2025

VIEACT-TTS-VC: A Vietnamese End-to-End Text-to-Speech and Voice Conversion Framework Using Low-Resource Adaptable Style Transfer

Hung D. Vo, Long S. T. Nguyen, Tri H. Trinh, Khang H. N. Vo, Tho T. Quan

Springer · Oct 30, 2025

TI-JEPA architecture using text-image cross-attention to predict masked image regions
2024

TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems

Khang H. N. Vo*, Duc P. T. Nguyen*, Thong Nguyen, Tho T. Quan

* Equal contribution.

SOICT

Vietnamese-Bahnar translation pipeline with segmentation and mapping phases
2024

Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes

Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Duc Nguyen, Tran Minh Hieu Vo, Tho Quan

AAAI Press

Featured Projects

Things I built after saying, "This should be a quick experiment".

2025 - VitalFit Persona: AI-powered healthcare application with agentic AI capabilities. GitHub

2025 - V7: advanced AI system showcasing machine learning and AI implementations. GitHub

2025 - Synthetic Generator: data generation system for synthetic datasets for machine learning. GitHub

2025 - Namizer: Vietnamese tokenizer that breaks words into 5 components. GitHub

2024 - HCMUT Chatbot: LLM and RAG-based chatbot for university academic admission. GitHub

Media Coverage & Recognition

Thanh Nien Newspaper - Early graduation with near-perfect thesis score. Article

Znews.vn - Young engineer uses AI to change Vietnamese typing. Article

OISP HCMUT - Bach Khoa International student shines in AmCham Scholarship 2024. Article

OISP HCMUT International - From barely in to top talented student. Article

OISP HCMUT - Rejecting New Zealand study abroad to choose Bach Khoa. Article

BK Quoc Te Facebook - Bach Khoa International Program feature. Video

Thanh Nien Facebook - Social media feature on academic achievements and early graduation. Post

BK Quoc Te Facebook - Academic excellence recognition. Post

Get In Touch

Want to discuss research, build something useful, or compare notes on why a model is confidently wrong? Say hello.

Email - nhatkhangdtp [at] gmail [dot] com · Khang.Vo [at] mbzuai [dot] ac [dot] ae

Location - Singapore (visiting scholar at NUS) · Abu Dhabi, UAE (PhD studies) · Ho Chi Minh City, Vietnam

Links - LinkedIn · GitHub · Google Scholar