Xingwu Sun

Venues

Frequent coauthors

Papers

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

   Yixing Li

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2. Autonomy-of-Experts Models
   ICML 2025 ·

   Ang Lv

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

   Yixing Li

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

   Yudong Zhang

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

   Yudong Zhang

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

   Chonghua Liao

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

   An Wang

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

   Bangxiang Lan

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

    Ang Lv

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

    Yuhan Fu

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

    Jiayi Liao

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

    Jiazhen Liu

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

    Yudong Zhang

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15. Scaling Laws for Floating-Point Quantization Training
    ICML 2025 · Xingwu Sun
16. Sparsifying Mamba
    EMNLP 2025 ·

    An Wang

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

    Yudong Zhang

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18. Understanding Data Influence in Reinforcement Finetuning
    NeurIPS 2025 ·

    Haoru Tan

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

    Zihui Gu

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20. PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
    ACM MM 2024 ·

    Yudong Zhang

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

    Haokai Ma

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22. Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
    NeurIPS 2024 ·

    Shuaipeng Li

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

    Zekai Qu

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

    Zhongzhi Chen

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