Zhichao Wang

Title: Zhichao Wang: Innovator in Language Model Summarization

Introduction

Zhichao Wang is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of language model summarization. His innovative approach utilizes advanced techniques to enhance the efficiency and effectiveness of summarizing large documents.

Latest Patents

Zhichao Wang holds a patent for "Extractive-abstractive large language model summarization with farthest point sampling." This patent describes a method where a set of sentences from a large document is vectorized into a set of vectors using an embedding model. A subset of these vectors is then selected through a farthest point sampling procedure, which is based on the vector-space distance between the respective vectors. The selected subset of vectors corresponds to a subset of sentences, which are ordered according to their original sequence in the document. To generate a summary, a query is sent to a large language model that includes a summarization prompt along with the relevant subset of sentences. The resulting summary is then received from the language model.

Career Highlights

Zhichao Wang is currently employed at Salesforce, Inc., where he continues to develop innovative solutions in the realm of artificial intelligence and natural language processing. His work focuses on improving the capabilities of language models to better serve users in various applications.

Collaborations

Zhichao Wang collaborates with talented professionals in his field, including his coworker Bin Bi. Together, they work on advancing technologies that leverage language models for practical applications.

Conclusion

Zhichao Wang's contributions to language model summarization demonstrate his commitment to innovation and excellence in technology. His patent reflects a significant advancement in the field, showcasing his expertise and dedication to improving how we process and summarize information.