This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: Innovations of Julian Eisenschlos
Introduction
Julian Eisenschlos is an accomplished inventor based in Zurich, Switzerland. He has made significant contributions to the field of visual language reasoning and language models. With a total of 3 patents, his work focuses on enhancing the interaction between graphical data and natural language processing.
Latest Patents
One of his latest patents is titled "One-shot visual language reasoning over graphical depictions of data." This invention provides a one-shot solution to visual language reasoning by decomposing the challenge into two steps: translating graphical depictions of data into text and reasoning over the translated text. The systems described can include a machine-learned visual-to-language conversion model that translates graphical depictions into descriptive text, which can then be used to prompt a language model, leveraging its few-shot reasoning capabilities.
Another notable patent is "Systems and methods for training language models to reason over tables." This invention outlines systems and methods for pre-training and fine-tuning neural-network-based language models to reason directly over tables without generating logical forms. The language model can be pre-trained using masked-language modeling tasks generated from tables, and further fine-tuned using examples that include only a question, an answer, and a table.
Career Highlights
Julian currently works at Google Inc., where he applies his expertise in machine learning and natural language processing. His innovative approaches have positioned him as a key player in the development of advanced language models.
Collaborations
He collaborates with talented coworkers, including Syrine Krichene and Francesco Piccinno, contributing to a dynamic and innovative work environment.
Conclusion
Julian Eisenschlos is a pioneering inventor whose work in visual language reasoning and language models continues to shape the future of data interpretation and interaction. His contributions are invaluable in advancing the capabilities of machine learning technologies.