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Found 3 papers, 1 papers with code
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
ORPO generates Optimistic model Rollouts for Pessimistic offline policy Optimization.
Real-time Short Video Recommendation on Mobile Devices
However, as users continue to watch videos and feedback, the changing context leads the ranking of the server-side recommendation system inaccurate.
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
Moreover, through extensive experiments across SOTA MTL models, we have observed an interesting seesaw phenomenon that performance of one task is often improved by hurting the performance of some other tasks.
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