Huy Nghiem
Papers
1
Total Citations
18
H-Index
1
About
Huy Nghiem is a rising researcher at the forefront of multimodal artificial intelligence, with a primary focus on Large Vision-Language Models (VLMs). His work centers on bridging the gap between computer vision and natural language processing, enabling machines to interpret and reason about the world through both visual and textual data. Nghiem’s most cited contribution, the 2025 survey “Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models,” has already garnered 18 citations, reflecting its timely impact on the field. In this comprehensive review, he systematically evaluates the performance of leading VLMs—such as CLIP and its successors—across diverse benchmarks, while also identifying critical challenges and future research directions. This work serves as an essential roadmap for researchers and practitioners aiming to advance multimodal systems. Beyond his survey, Nghiem’s research explores practical applications of VLMs, from image-text retrieval to visual reasoning, contributing to the rapid evolution of AI that can see, read, and understand. His efforts are helping to shape the next generation of intelligent systems that seamlessly integrate vision and language.
Research Focus
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Top Papers
- 1