Yiding Jiang

Title: Yiding Jiang: Innovator in Language Processing Technologies

Introduction

Yiding Jiang is a notable inventor based in Pittsburgh, PA (US), recognized for his contributions to the field of language processing technologies. With a total of 3 patents to his name, Jiang has developed innovative methods that enhance the interaction between images and text, as well as improve the utilization of large language models.

Latest Patents

One of Jiang's latest patents is titled "System and method for prompt searching." This computer-implemented method involves receiving multiple input images and generating a visual matrix using an image encoder. The process includes selecting text prompts, sending them to a language model to generate candidate tokens, and determining a score based on an image-text similarity matrix. The final output is an updated text prompt that reflects the highest scoring token.

Another significant patent is "System and method for utilizing weak learners on large language models." This method converts tabular data into a text representation and generates metadata associated with it. By utilizing a large language model, the method outputs natural language descriptions and predictions based on queries related to the tabular data, ultimately providing a final prediction once a convergence threshold is met.

Career Highlights

Throughout his career, Yiding Jiang has worked with prominent organizations such as Robert Bosch GmbH and Carnegie Mellon University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in language processing.

Collaborations

Jiang has collaborated with talented individuals in his field, including Filipe J Cabrita Condessa and Wan-Yi Lin. These partnerships have fostered innovation and have led to the development of advanced technologies in language processing.

Conclusion

Yiding Jiang's work exemplifies the intersection of technology and language, showcasing his innovative spirit and dedication to advancing the field. His patents reflect a commitment to enhancing how we interact with data and technology, making significant contributions to the industry.