Yuliang Liu

Venues

Frequent coauthors

Papers

1. AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
   ICML 2025 · Yuliang Liu
2. DocThinker: Explainable Multimodal Large Language Models with Rule-Based Reinforcement Learning for Document Understanding
   ICCV 2025 ·

   Wenwen Yu

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3. LIRA: Inferring Segmentation in Large Multi-Modal Models with Local Interleaved Region Assistance
   ICCV 2025 ·

   Zhang Li

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4. LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
   ACL 2025 ·

   Zhiyuan Hu

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5. MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
   NeurIPS 2025 ·

   Liang Yin

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6. MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
   ACL 2025 ·

   Jingqun Tang

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7. Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
   ICLR 2025 ·

   Mingxin Huang

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8. Multi-Scenario Overlapping Text Segmentation with Depth Awareness
   ICCV 2025 ·

   Yang Liu

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9. OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
   NeurIPS 2025 ·

   Ling Fu

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10. SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
    CVPR 2025 ·

    Dongliang Luo

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11. Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning
    EMNLP 2025 ·

    Linger Deng

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12. Towards Comprehensive Lecture Slides Understanding: Large-Scale Dataset and Effective Method
    ICCV 2025 ·

    Enming Zhang

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13. Training-Free Geometric Image Editing on Diffusion Models
    ICCV 2025 ·

    Hanshen Zhu

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14. WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?
    EMNLP 2025 ·

    An-Lan Wang

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15. AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models
    NeurIPS 2024 ·

    Yuchen Fu

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16. Bridging the Gap Between End-to-End and Two-Step Text Spotting
    CVPR 2024 ·

    Mingxin Huang

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17. Deciphering Oracle Bone Language with Diffusion Models
    ACL 2024 ·

    Haisu Guan

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18. MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
    NeurIPS 2024 ·

    Xingkui Zhu

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19. Monkey: Image Resolution and Text Label are Important Things for Large Multi-Modal Models
    CVPR 2024 ·

    Zhang Li

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20. OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition
    CVPR 2024 ·

    Jianqiang Wan

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21. ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining
    AAAI 2024 ·

    Dezhi Peng

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22. Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
    ICML 2024 ·

    Yang Jin

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23. Well Begun is Half Done: The Importance of Initialization in Dataset Distillation
    ECCV 2024 ·

    Yiran Guan

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