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Fudan University
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LLMs are poised to flip the script on personalization, giving users unprecedented control over their data and how it's used across platforms.
A groundbreaking framework reduces false positives in recommendation systems by over 74%, restoring user control and transparency in content curation.
Generative recommendation systems can now adapt to evolving user behavior without catastrophic forgetting, thanks to a novel drift-aware tokenization method that selectively updates item representations.
