Weizhi Ma

Venues

Frequent coauthors

Papers

1. Beyond "I Don't Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty
   ACL 2026 ·

   Jingyi Ren

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2. TheraAgent: Self-Improving Therapeutic Agent for Precise and Comprehensive Treatment Planning
   ACL 2026 ·

   Junkai Li

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3. UR² : Unify RAG and Reasoning through Reinforcement Learning
   ACL 2026 ·

   Weitao Li

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4. Beyond Utility: Evaluating LLM as Recommender
   WWW 2025 ·

   Chumeng Jiang

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5. CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation
   SIGIR 2025 ·

   Hanyu Li

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6. Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
   EMNLP 2025 ·

   Weitao Li

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7. Explainable Multi-Modality Alignment for Transferable Recommendation
   WWW 2025 ·

   Shenghao Yang

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8. How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison
   EMNLP 2025 ·

   Jiayin Wang

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9. Improving Long-tail User CTR Prediction via Hierarchical Distribution Alignment
   SIGKDD 2025 ·

   Yifan Wang

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10. PerSRV: Personalized Sticker Retrieval with Vision-Language Model
    WWW 2025 ·

    Heng Er Metilda Chee

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11. Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
    SIGIR 2025 ·

    Zhiyu He

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12. Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach
    ACM MM 2025 ·

    Heng Er Metilda Chee

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13. StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
    CIKM 2025 ·

    Yuanqing Yu

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14. U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization
    SIGIR 2025 ·

    Heng Er Metilda Chee

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15. WWW 2025 Workshop Chairs' Welcome
    WWW 2025 ·

    Piotr Koniusz

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16. Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
    ACM MM 2025 ·

    Yuli Liu

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17. A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
    EMNLP 2024 ·

    Jiayin Wang

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18. Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
    SIGIR 2024 ·

    Hanyu Li

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19. Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
    CIKM 2024 ·

    Yurou Zhao

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20. Citation-Enhanced Generation for LLM-based Chatbots
    ACL 2024 ·

    Weitao Li

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21. EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems
    SIGIR 2024 ·

    Yuanqing Yu

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22. Intersectional Two-sided Fairness in Recommendation
    WWW 2024 ·

    Yifan Wang

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23. Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
    AAAI 2024 ·

    Jimmy Lin

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24. Large Language Models as Evaluators for Recommendation Explanations
    RecSys 2024 ·

    Xiaoyu Zhang

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25. MACRec: A Multi-Agent Collaboration Framework for Recommendation
    SIGIR 2024 ·

    Zhefan Wang

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26. ReChorus2.0: A Modular and Task-Flexible Recommendation Library
    RecSys 2024 ·

    Jiayu Li

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27. Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
    RecSys 2024 ·

    Jiayu Li

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28. Sequential Recommendation with Latent Relations based on Large Language Model
    SIGIR 2024 ·

    Shenghao Yang

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29. Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
    SIGKDD 2024 ·

    Yihong Wu

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