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Jianzhe Zhao

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Preprint Sep 2026

Preference-Drift-Aware Subsequence Learning and Hierarchical Context Fusion for Long-Sequence Generative Recommendation

Long-sequence generative recommendation methods autoregressively model the user's interaction sequence to generate the next-item representation. Existing methods generally fall into two categories: efficient full-sequence modeling and target-aware context retrieval. Our experiments reveal that as the sequence length in...

Fei Li, Qing-Yun Gao, Jianzhe Zhao et al. · 0 citations
Preprint Aug 2026

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning

An extended faithfulness analysis shows that the refined profiles remain largely grounded in the source preferences while preserving task-relevant personalization signals, suggesting that profile-side adaptation serves as a practical complement to universal memory construction for lifelong personalized agents.

Yuting Liu, Wei Wu, Jianzhe Zhao et al. · 0 citations

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