Winner of the 2022 Adobe Research Award; Best Paper Runner-up Award (MRL@EMNLP 2022); Outstanding Demo Paper Award (EACL 2021). Published multiple papers across various fields including natural language processing and reinforcement learning.
Research Experience
Organizer of the AAAI Workshops on Scientific Document Understanding and Video Transcript Understanding; served as a program committee member for ACL Rolling Review, ACL, NAACL, EMNLP, Neural Computing, and Transactions on Information Systems journals.
Education
Received a Master's degree in Computer Science from the Japan Advanced Institute of Science and Technology and a Ph.D. in Computer Science from the University of Oregon. Advised by Prof. Thien Huu Nguyen for his Ph.D. and Prof. Minh Le Nguyen for his Master's.
Background
Research interests include factuality, multilinguality, and vision-language alignment. Currently a researcher at Adobe Research, previously worked at Kensho Technologies (the AI Research Hub of S&P Global).
Miscellany
Recent News: October 2025 - Publicly released work on Zero-Variance Prompts for RLVR; September 2025 - One paper accepted at NeurIPS 2025 and one paper accepted at FinNLP; May 2025 - One paper accepted at CVEU Workshop (CVPR) in image editing and two papers accepted at ACL in LLM number understanding and GUI Agents; April 2025 - One paper accepted at Reinforcement Learning Conference.