This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Yubin Ge - Innovator in Generative Language Models
Introduction
Yubin Ge is an accomplished inventor based in Champaign, IL (US). He has made significant contributions to the field of generative language models, particularly in the area of knowledge graph utilization. His innovative approach addresses the challenges of generating valid information through advanced techniques.
Latest Patents
Yubin Ge holds a patent titled "Generating model output using a knowledge graph." This patent focuses on techniques for constraining the results of a generative language model to valid information using knowledge-grounded documentation. The generative language model may produce invalid results, including compound entities and incorrect entity relations. The techniques involve determining a set of documented information from a specific knowledge base that corresponds to a user inquiry. Additionally, a subgraph from a knowledge graph representing the knowledge base is determined, along with a trie data structure representation of the documented information. The user inquiry and subgraph are then provided as input to a trained generative language model to generate a response. The techniques also include using the trie data structure to validate that the generated response corresponds to real information from the documented information set. Yubin Ge has 1 patent to his name.
Career Highlights
Yubin Ge is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of artificial intelligence and language processing. His work is instrumental in enhancing the accuracy and reliability of generative models.
Collaborations
Yubin collaborates with talented individuals such as Mahdi Namazifar and Di Jin, who contribute to the dynamic environment of innovation at Amazon Technologies, Inc. Their combined expertise fosters a culture of creativity and advancement in technology.
Conclusion
Yubin Ge's contributions to generative language models and knowledge graph integration highlight his role as a leading inventor in the field. His innovative techniques pave the way for more reliable and accurate information generation in artificial intelligence applications.