Yang You

Venues

Frequent coauthors

Papers

1. GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
   ACL 2026 ·

   Weidong Tang

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2. MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
   AAAI 2026 ·

   Pengfei Zhou

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3. A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
   CVPR 2025 ·

   Kai Wang

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4. A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
   CVPR 2025 ·

   Wangbo Zhao

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5. DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
   ICML 2025 ·

   Xuanlei Zhao

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6. DavIR: Data Selection via Implicit Reward for Large Language Models
   ACL 2025 ·

   Haotian Zhou

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7. Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
   NeurIPS 2025 ·

   Zhiyuan Liang

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8. Dynamic Diffusion Transformer
   ICLR 2025 ·

   Wangbo Zhao

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9. ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
   NeurIPS 2025 ·

   Zedong Liu

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10. Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
    CVPR 2025 ·

    Kai Wang

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11. Info-Coevolution: An Efficient Framework for Data Model Coevolution
    ICML 2025 ·

    Ziheng Qin

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12. MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
    ICML 2025 ·

    Yang Luo

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13. MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
    ICLR 2025 ·

    Jinjie Ni

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14. Neural-Driven Image Editing
    NeurIPS 2025 ·

    Pengfei Zhou

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15. REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
    NeurIPS 2025 ·

    Ziqiao Wang

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16. Real-Time Video Generation with Pyramid Attention Broadcast
    ICLR 2025 ·

    Xuanlei Zhao

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17. Scaling Up Parameter Generation: A Recurrent Diffusion Approach
    NeurIPS 2025 ·

    Kai Wang

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18. SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
    ICML 2025 ·

    Yong Liu

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19. Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
    NeurIPS 2025 ·

    Yong Liu

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20. StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
    NeurIPS 2025 ·

    Ziming Liu

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21. Unsupervised Learning for Class Distribution Mismatch
    ICML 2025 ·

    Pan Du

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22. AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
    ICLR 2024 ·

    Xuanlei Zhao

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23. Dataset Growth
    ECCV 2024 ·

    Ziheng Qin

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24. DiM: Distilling Dataset into Generative Model
    ECCV 2024 ·

    Kai Wang

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25. DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
    ICML 2024 ·

    Zelin Zang

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26. Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
    NeurIPS 2024 ·

    Wangbo Zhao

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27. Efficient Dataset Distillation via Minimax Diffusion
    CVPR 2024 ·

    Jianyang Gu

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28. Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
    WWW 2024 ·

    Zirui Zhu

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29. HeteGen: Efficient Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
    MLSys 2024 ·

    Xuanlei Zhao

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30. How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
    EMNLP 2024 ·

    Yang Luo

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31. InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
    ICLR 2024 ·

    Ziheng Qin

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32. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
    NeurIPS 2024 ·

    Jinjie Ni

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33. Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
    ICML 2024 ·

    Yuchen Zhang

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34. OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
    ICML 2024 ·

    Fuzhao Xue

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35. Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
    NeurIPS 2024 ·

    Tianle Zhang

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36. Summarizing Stream Data for Memory-Constrained Online Continual Learning
    AAAI 2024 ·

    Jianyang Gu

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37. The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
    SIGKDD 2024 ·

    Kun Wang

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38. Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
    ICLR 2024 ·

    Ziyao Guo

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