This inventor holds 1 USPTO granted patent. Top assignee: Nanjing University of Science and Technology. 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: Long Shi - Innovator in Industrial Question-Answering Models
Introduction
Long Shi is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of artificial intelligence, particularly in the development of industrial question-answering models. His innovative approach combines reinforcement learning with knowledge base matching, showcasing his expertise in this cutting-edge technology.
Latest Patents
Long Shi holds a patent for "Methods for training an industrial question-answering model based on reinforcement learning and knowledge base matching." This patent outlines a method that involves training a reward model to enhance the performance of an industrial question-answering system. The process includes matching the output of the model with an industrial knowledge base and generating reward values based on the similarity of the outputs. The method further involves ranking these reward values and updating the network parameters of the reward model, ultimately leading to the optimization of the question-answering model through reinforcement learning algorithms.
Career Highlights
Long Shi is affiliated with the Nanjing University of Science and Technology, where he continues to advance his research in artificial intelligence. His work has garnered attention for its practical applications in various industrial sectors, making him a valuable asset to the academic and research community.
Collaborations
Long Shi has collaborated with notable colleagues, including Yiyang Ni and Pengcheng Xia. Their combined efforts contribute to the ongoing research and development in the field of industrial question-answering systems.
Conclusion
Long Shi's innovative work in training industrial question-answering models highlights his significant role in advancing artificial intelligence technologies. His contributions are paving the way for more efficient and effective systems in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile