Cranbury, NJ, United States of America

Christine J Tu

This inventor holds 1 USPTO granted patent. Top assignee: Morgan Stanley Services Group Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christine J Tu. Retrieved from https://idiyas.com/inventor/christine-j-tu

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Christine J. Tu and Watermarking Large Language Model Outputs.

Introduction

Christine J. Tu is an inventor associated with Cranbury, New Jersey, and Morgan Stanley Services Group Inc. Her patent work addresses ways to make large language model outputs traceable while preserving the text as generated.

Latest Patents

Tu is named on one patent, Watermarking Large Language Model Outputs. The invention describes a post-hoc, low-cost method for embedding a unique, invisible watermark in text produced by a large language model in an enterprise environment. The watermark is designed to support content traceability and verification without perceptibly changing the text, modifying the underlying model, or reducing text-generation efficiency. Tu’s reported portfolio includes 1 patent.

Career Highlights

Tu’s listed patent work connects her to enterprise applications of artificial intelligence and content provenance. The disclosed approach focuses on adding watermarking after text generation, offering a way to verify outputs without changing the base model.

Collaborations

The patent information also names Timothy S. Eng and Pradeep Sundaram as Tu’s coworkers. The invention is associated with Morgan Stanley Services Group Inc.

Conclusion

Christine J. Tu’s patent contribution focuses on invisible watermarking as a practical means of tracing and verifying large language model outputs while leaving the generated text and underlying model unchanged.

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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