Heidelberg, Germany

Oren Dar

This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Oren Dar. Retrieved from https://idiyas.com/inventor/oren-dar-cgq8njvq

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Oren Dar: Innovator in Document Selection Systems

Introduction

Oren Dar is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of document retrieval systems, particularly through his innovative patent. His work focuses on enhancing the efficiency of large language models in selecting relevant documents.

Latest Patents

Oren Dar holds a patent titled "Optimizing retrieval-augmented generation systems through enhanced document selection." This method involves applying a document ranking layer of a document selection large language model (LLM) to a list of reference documents. The process includes obtaining a ranked document list, selecting a subset of documents, and generating answers based on user prompts. The method further incorporates ranking the answers and the document subset to optimize the retrieval process. He has 1 patent to his name.

Career Highlights

Oren Dar is currently employed at Intuit, Inc., where he continues to develop innovative solutions in the realm of document retrieval and language processing. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Oren collaborates with talented individuals such as Matan Vetzler and Osnat Haj Yahia. Their combined efforts contribute to the advancement of technology in document selection systems.

Conclusion

Oren Dar's work in optimizing retrieval-augmented generation systems showcases his innovative spirit and dedication to improving document selection processes. His contributions are paving the way for advancements in large language models and their applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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