This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Google Inc.. 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 by Steven Zheng
Introduction
Steven Zheng is an accomplished inventor based in San Bruno, CA. He has made significant contributions to the field of artificial intelligence, particularly in enhancing the capabilities of large language models. His innovative approach focuses on reducing computational resource consumption while improving instruction following in these models.
Latest Patents
Steven Zheng holds a patent for "Instruction following in large language models to reduce computational resource consumption." This patent involves implementations that enhance the instruction following capabilities of large language models (LLMs) through techniques such as instruction decomposition, self-evaluation, and progressive refinement. The system can obtain natural language (NL) based input, generate multiple candidate responses, and evaluate these responses based on the instructions provided in the NL input. The process allows for the progressive refinement of candidate responses until specific termination criteria are met. In some cases, the NL input can be sourced from client devices or databases, enabling fine-tuning of the LLM.
Career Highlights
Steven Zheng is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work has garnered attention for its practical applications in improving AI systems.
Collaborations
Steven has collaborated with notable colleagues, including Ragha Kotikalapudi and Swaroop Mishra, contributing to a dynamic and innovative work environment.
Conclusion
Steven Zheng's contributions to the field of artificial intelligence, particularly through his patent on large language models, highlight his role as a leading inventor in the tech industry. His work not only enhances the efficiency of AI systems but also paves the way for future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
