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Gumpest/README.md

Yuan Zhang is a Ph.D. candidate at CFCS, Peking University, advised by Prof. Shanghang Zhang and Prof. Kuan Cheng. Previously, he received his M.Eng. degree from Peking University and B.Eng. degree from Hohai University. He used to intern at SenseTime Research, Alibaba (DAMO Academy), ByteDance (Seed Foundation Model), and UC Berkeley (BAIR). His major research interests lie within efficient machine learning algorithms, like

  • Efficient AI (KD, Pruning, Quantization, Data Selection, Self-Play)

  • Multimodal Large Language Model

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  1. SparseVLMs SparseVLMs Public

    [ICML'25][TPAMI'26] Official implementation of paper "SparseVLM" and "SparseVLM+".

    Python 276 22

  2. FreeKD FreeKD Public

    [CVPR'24][TPAMI'26] Official implementation of paper "FreeKD: Knowledge Distillation via Semantic Frequency Prompt".

    Python 50 6

  3. foundation-multimodal-models/ConBench foundation-multimodal-models/ConBench Public archive

    [NeurIPS'24] Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".

    Python 39 2

  4. DAMO-YOLO DAMO-YOLO Public

    Forked from tinyvision/DAMO-YOLO

    DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

    Python 3

  5. AvatarKD AvatarKD Public

    [ACM MM'23] Official implementation of paper "Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty".

    Python 14 3

  6. AutoV AutoV Public

    [ECCV'26] Official implementation of paper "AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs".

    Python 6