This inventor holds 1 USPTO granted patent. Top assignee: Oracle International Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Trung-Dung Hoang
Introduction
Trung-Dung Hoang is an accomplished inventor based in Lausanne, Switzerland. He has made significant contributions to the field of natural language processing and database interaction. His innovative work focuses on enhancing the accuracy of large language models through advanced techniques.
Latest Patents
Trung-Dung Hoang holds a patent for "Schema linking-based techniques to boost text-to-query accuracy of large language models." This patent involves multitask finetuning of natural language interaction to improve the semantic accuracy of database statement generation. The invention allows a computer to associate a natural language request with the correct database statement, even when dealing with previously unseen database schemas. The large language model predicts identifiers based on the natural language request and a subset of the database schema, ensuring accurate database statement generation.
Career Highlights
Trung-Dung Hoang is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in the realm of natural language processing. His work has been instrumental in advancing the capabilities of large language models and their applications in various industries.
Collaborations
Trung-Dung Hoang collaborates with talented professionals such as Giulia Carocari and Moein Owhadi Kareshk. Their combined expertise contributes to the success of their projects and the advancement of technology in their field.
Conclusion
Trung-Dung Hoang is a notable inventor whose work in natural language processing and database interaction has the potential to revolutionize how we interact with technology. His contributions are paving the way for more accurate and efficient systems in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
