Welcome to Thinh’s homepage!
Hi, I am a second-year PhD student at Virginia Tech (VT), advised by Prof. Tu Vu. My research focuses on effective and efficient methods to advance reasoning skills for search-augmented large language models and intelligent web search agents.
Previously, I spent 2 years working as an AI Resident at VinAI Research under the supervision of Dr. Dat Quoc Nguyen. Prior to that, I completed my bachelor’s degree in Computer Science at University of Science, Vietnam National University, Ho Chi Minh city.
🔎 Looking for an internship position in Summer 2026! Check out my CV here
🌟 Research interests
I am now focusing on improving LLMs’ reasoning skills by injecting knowledge from external tools, including:
- Search-augmented LLMs: enhancing LLMs with search capabilities for more accurate and up-to-date knowledge.
- Web search agents: designing effective approaches to enable agents to find accurate information in noisy web environments.
- Advanced reasoning: developing methods to improve LLMs’ ability to engage in sophisticated reasoning processes.
🔥 News and Highlights
- [2025/06] New preprint on a challenge benchmark for LLM reasoning over conflicting evidence.
- [2024/08] I started my PhD journey at Virginia Tech! 🎉
- [2023/12] 1 paper accepted to ICASSP 2024.
- [2023/11] 1 paper accepted to Findings of EMNLP 2023.
- [2023/05] 1 paper accepted to INTERSPEECH 2023.
- [2022/07] I joined VinAI Research as an AI Resident! 🎉
📝 Selected Publications
Checkout my Google Scholar for a up-to-date publication list.
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare, Weiyuan Chen, Yu-Min Tseng, Tu Vu
Preprint, 2025
[paper]
JPIS: A Joint Model for Profile-Based Intent Detection and Slot Filling with Slot-to-Intent Attention
Thinh Pham, Dat Quoc Nguyen
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024, 2024
[paper] [code]
