Papers by Zhiwei Dai

    1 papers
    DUET: Joint Exploration of User–Item Profiles in Recommendation System (2026.findings-acl)

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    Challenge: Existing LLMs are opaque and difficult to interpret, resulting in limited interpretability.
    Approach: They propose an interaction-aware profile generator that jointly produces user and item profiles conditioned on both user history and item evidence.
    Outcome: The proposed model outperforms baselines on three real-world datasets.

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