Linfeng Zhang

Venues

Frequent coauthors

Papers

1. Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
   ACL 2026 ·

   Chenfei Liao

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2. Bypassing Neural Evaluations for Fast Audio Editing via Adaptive Trajectory Extrapolation
   ACL 2026 ·

   Xiaoqian Liu

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3. D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning
   AAAI 2026 ·

   Evelyn Zhang

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4. Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
   AAAI 2026 ·

   Shikang Zheng

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5. ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation
   AAAI 2026 ·

   Yue Min

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6. Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference
   ACL 2026 ·

   Jianuo Huang

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7. MelTrim: Coarse-to-Fine Data Pruning for Speech Classification
   ACL 2026 ·

   Shaobo Wang

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8. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
   ACL 2026 ·

   Junbo Niu

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9. SDAR-VL: Stable and Efficient Block-wise Diffusion for Vision-Language Understanding
   ACL 2026 ·

   Shuang Cheng

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10. SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation
    ACL 2026 ·

    Shuang Cheng

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11. SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
    AAAI 2026 ·

    Yuan Ge

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12. StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding
    ACL 2026 ·

    Junxi Wang

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13. UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective
    AAAI 2026 ·

    Furui Xu

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14. WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation
    AAAI 2026 ·

    Xiaoqian Liu

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15. Accelerating Diffusion Transformers with Token-wise Feature Caching
    ICLR 2025 ·

    Chang Zou

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16. Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
    ACM MM 2025 ·

    Zhixin Zheng

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17. Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
    ACL 2025 ·

    Shaobo Wang

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18. Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
    CVPR 2025 ·

    Shaobo Wang

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19. Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
    CVPR 2025 ·

    Qianli Ma

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20. Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention
    NeurIPS 2025 ·

    Xin Zou

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21. Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
    NeurIPS 2025 ·

    Zichen Wen

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22. EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
    NeurIPS 2025 ·

    Yantai Yang

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23. From Reusing to Forecasting: Accelerating Diffusion Models With Taylorseers
    ICCV 2025 ·

    Jiacheng Liu

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24. Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
    ICLR 2025 ·

    Shaobo Wang

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25. GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction
    EMNLP 2025 ·

    Xuelin Li

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26. ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
    CVPR 2025 ·

    Junzhe Chen

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27. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
    ACL 2025 ·

    Qianli Ma

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28. LEGION: Learning to Ground and Explain for Synthetic Image Detection
    ICCV 2025 ·

    Hengrui Kang

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29. LazyMAR: Accelerating Masked Autoregressive Models Via Feature Caching
    ICCV 2025 ·

    Feihong Yan

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30. OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
    ICCV 2025 ·

    Ding Zhong

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31. ProReflow: Progressive Reflow with Decomposed Velocity
    CVPR 2025 ·

    Lei Ke

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32. REEF: Representation Encoding Fingerprints for Large Language Models
    ICLR 2025 ·

    Jie Zhang

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33. RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
    ICML 2025 ·

    Yuanhuiyi Lyu

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34. SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching
    ACM MM 2025 ·

    Jiacheng Liu

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35. Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More
    EMNLP 2025 ·

    Zichen Wen

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36. Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
    ACL 2025 ·

    Zichen Wen

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37. Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
    AAAI 2025 ·

    Evelyn Zhang

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38. Unlocking Speech Instruction Data Potential with Query Rewriting
    ACL 2025 ·

    Yonghua Hei

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39. DiTFastAttn: Attention Compression for Diffusion Transformer Models
    NeurIPS 2024 ·

    Zhihang Yuan

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