Monkey: Image Resolution and Text Label are Important Things for Large Multi-Modal Models. - Zhang Li; Biao Yang; Qiang Liu; Zhiyin Ma; Shuo Zhang; Jingxu Yang; Yabo Sun; Yuliang Liu; Xiang Bai (CVPR, 2024)

Exploring the Capabilities of Large Multimodal Models on Dense Text. - Shuo Zhang; Biao Yang; Zhang Li; Zhiyin Ma; Yuliang Liu; Xiang Bai (ICDAR (6), 2024)

TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document. - Yuliang Liu; Biao Yang; Qiang Liu; Zhang Li; Zhiyin Ma; Shuo Zhang; Xiang Bai (CoRR, 2024)

FlameGS: Reconstruct flame light field via Gaussian Splatting. - Yunhao Shui; Fuhao Zhang; Can Gao; Hao Xue; Zhiyin Ma; Gang Xun; Xuesong Li (CoRR, 2024)

MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm. - Zhang Li; Yuliang Liu; Qiang Liu; Zhiyin Ma; Ziyang Zhang; Shuo Zhang; Zidun Guo; Jiarui Zhang; Xinyu Wang; Xiang Bai (CoRR, 2025)

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance. - Zhang Li; Biao Yang; Qiang Liu; Shuo Zhang; Zhiyin Ma; Liang Yin; Linger Deng; Yabo Sun; Yuliang Liu; Xiang Bai (CoRR, 2025)