Fengbin Zhu

Venues

Frequent coauthors

Papers

1. BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning
   WWW 2026 ·

   Pengyang Shao

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2. One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
   SIGIR 2026 ·

   Hongru Cai

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3. PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
   ACL 2026 ·

   Chengbing Wang

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4. TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
   ACL 2026 ·

   Xiqiao Xiong

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5. CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
   AAAI 2025 ·

   Boyi Deng

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6. DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
   ACM MM 2025 ·

   Yiyan Xu

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7. FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI
   SIGIR 2025 · Fengbin Zhu
8. Heterogeneous User Modeling for LLM-based Recommendation
   RecSys 2025 ·

   Honghui Bao

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9. IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
   NeurIPS 2025 ·

   Zijie Lin

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10. Large Language Models Empowered Personalized Web Agents
    WWW 2025 ·

    Hongru Cai

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11. Latent Inter-User Difference Modeling for LLM Personalization
    EMNLP 2025 ·

    Yilun Qiu

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12. Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
    WWW 2025 ·

    Chengbing Wang

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13. Long Context vs. RAG: Strategies for Processing Long Documents in LLMs
    SIGIR 2025 ·

    Xinze Li

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14. Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance
    ACM MM 2025 · Fengbin Zhu
15. Unified Category and Style Generalization for Instance-Level Sketch Retrieval
    SIGIR 2025 ·

    Zechao Hu

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16. Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
    EMNLP 2024 ·

    Moxin Li

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