Thach-Thao Duong
Papers
1
Total Citations
5
H-Index
1
About
Thach-Thao Duong is a rising researcher at the forefront of artificial intelligence, whose work centers on advancing multi-modal large language models (MLLMs) for domain-specific applications. Her most-cited paper, a 2025 systematic review, has already garnered 5 citations, establishing her as a key voice in synthesizing how LLMs can transcend text-only limitations by integrating visual and audio perceptions. This foundational contribution maps the landscape of MLLMs, highlighting their potential to revolutionize fields like healthcare, education, and robotics by enabling more realistic, multi-sensory interactions. Duong’s research addresses a critical gap: while LLMs excel in text, they falter in real-world contexts without multi-modal capabilities. Her review not only catalogs existing architectures and benchmarks but also identifies future directions, making it an essential resource for students and researchers navigating this fast-evolving domain. Through her systematic analysis, Duong has laid the groundwork for more robust, context-aware AI systems, positioning her as a promising scholar whose work bridges cutting-edge theory and practical, impactful applications.
Research Focus
Key Achievements
Top Papers
- 1