Thang M. Pham Data-verified

OverviewAI-generated summary

Thang M. Pham's research focuses on advancements in artificial intelligence, particularly in the areas of natural language understanding and computer vision. His work investigates the sequential ordering of words in sentences for natural language understanding tasks, as evidenced by publications such as "Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?" Pham also explores efficient language models for on-device applications, contributing "SlimLM: An Efficient Small Language Model for On-Device Document Assistance." His research extends to visual understanding, with projects like "A2VIS: Amodal-Aware Approach to Video Instance Segmentation" and "PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck." Pham has collaborated with researchers at the University of Arkansas at Fayetteville, including Minh Quan Tran, Minh Trần, Taisei Hanyu, and Minh C. Tran, on multiple shared publications. His scholarship is characterized by an h-index of 3 and 58 total citations across 17 publications.

Metrics

• h-index: 3
• Publications: 19
• Citations: 60