Zhanhui Kang

Venues

Frequent coauthors

Papers

1. Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs
   ACL 2026 ·

   Mingze Xu

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2. TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
   AAAI 2026 ·

   Yixing Li

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3. Autonomy-of-Experts Models
   ICML 2025 ·

   Ang Lv

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4. Continuous Speech Tokenizer in Text To Speech
   NAACL 2025 ·

   Yixing Li

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5. DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models
   ACM MM 2025 ·

   Yudong Zhang

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6. Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
   AAAI 2025 ·

   Yudong Zhang

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7. Exploring Forgetting in Large Language Model Pre-Training
   ACL 2025 ·

   Chonghua Liao

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8. Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
   ACM MM 2025 ·

   Yudong Zhang

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9. Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation
   WWW 2025 ·

   Junjie Zhang

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10. Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
    AAAI 2025 ·

    Lichen Bai

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11. HMoE: Heterogeneous Mixture of Experts for Language Modeling
    EMNLP 2025 ·

    An Wang

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12. Hybrid-Tower: Fine-Grained Pseudo-Query Interaction and Generation for Text-to-Video Retrieval
    ICCV 2025 ·

    Bangxiang Lan

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13. Language Models "Grok" to Copy
    NAACL 2025 ·

    Ang Lv

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14. Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
    ACL 2025 ·

    Yuhan Fu

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15. Multi-Grained Patch Training for Efficient LLM-based Recommendation
    SIGIR 2025 ·

    Jiayi Liao

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16. PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset
    CVPR 2025 ·

    Jiazhen Liu

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17. QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
    NAACL 2025 ·

    Yudong Zhang

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18. Scaling Laws for Floating-Point Quantization Training
    ICML 2025 ·

    Xingwu Sun

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19. Sparsifying Mamba
    EMNLP 2025 ·

    An Wang

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20. The Security Threat of Compressed Projectors in Large Vision-Language Models
    EMNLP 2025 ·

    Yudong Zhang

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21. DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
    SIGKDD 2024 ·

    Yiqing Wu

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22. DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
    AAAI 2024 ·

    Zihui Gu

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23. Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
    SIGKDD 2024 ·

    Guipeng Xv

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24. Plug-In Diffusion Model for Sequential Recommendation
    AAAI 2024 ·

    Haokai Ma

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25. SeeDRec: Sememe-based Diffusion for Sequential Recommendation
    IJCAI 2024 ·

    Haokai Ma

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26. The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
    RecSys 2024 ·

    Zekai Qu

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27. Towards Empathetic Conversational Recommender Systems
    RecSys 2024 ·

    Xiaoyu Zhang

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28. Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
    AAAI 2024 ·

    Zhongzhi Chen

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