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Who cites Huizi Mao

310 citations of their works from 310 papers of our library (of the 149,439 whose bibliographies we read) · 49 with a page here, the most cited first · ← Huizi Mao

  1. AMC: AutoML for Model Compression and Acceleration on Mobile DevicesLecture notes in computer scienceYihui He; Ji Lin; Zhijian Liu; Hanrui Wang; Li-Jia Li;, Song Han2018 · 1,444 citations
  2. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
  3. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  4. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  5. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
  6. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingarXiv:2403.05525Haoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 208 citations
  7. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
  8. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
  9. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
  10. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  11. LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
  12. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  13. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
  14. MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
  15. Long Context Transfer from Language to VisionarXiv:2406.16852Peiyuan Zhang, Kaichen Zhang, Bo Li, et al.2024 · 73 citations
  16. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsarXiv:2408.04840Jiabo Ye, Haiyang Xu, Haowei Liu, et al.2024 · 60 citations
  17. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsarXiv:2402.02207Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, et al.2024 · 60 citations
  18. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  19. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  20. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  21. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingarXiv:2407.04903Zekun Li, Xianjun Yang, Kyuri Choi, et al.2024 · 20 citations
  22. Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtarXiv:2504.05599Yi Peng, Peiyu Wang, Xiaokun Wang, et al.2025 · 17 citations
  23. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
  24. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  25. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context ModelingarXiv:2602.11761MiniCPM Team, Wenhao An, Yingfa Chen, et al.2026 · 2 citations

261 more citing papers of our library have no page here yet.

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