Viet LAI

Viet Lai is a researcher at Adobe Research. He completed his Ph.D. in Computer Science at the University of Oregon and his master’s degree in Computer Science in Computer Science at the Japan Advanced Institute of Science and Technology. He was selected as the Adobe Research Award winner in 2022. The other awards he received include the Best Paper Runner-up Award (MRL@EMNLP 2022) and the Outstanding Demo Paper Award (EACL 2021) for his work in multilingual understanding. He was an organizer of the AAAI Workshops on Scientific Document Understanding and Video Transcript Understanding. He has served on the program committee for ACL Rolling Review, ACL, NAACL, and EMNLP conferences, and the Neural Computing and Transactions on Information Systems journals.

He studies effective and efficient methods for advancing AI in the era of multi-modality foundational models. Specifically, he is interested in the following topics:

• Factuality: Effective measuring of factual accuracy in AI-generated contents
• Multilinguality: Develop methods for low-resource languages
• Vision-Language Alignment: Effective and efficient model architectures for vision-language tasks

  For more details: See his personal website.