Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. - Qizhe Zhang; Bocheng Zou; Ruichuan An; Jiaming Liu 003; Shanghang Zhang (CoRR, 2023)

LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. - Yulin Luo; Ruichuan An; Bocheng Zou; Yiming Tang; Jiaming Liu 003; Shanghang Zhang (ECCV (33), 2024)

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. - Bocheng Zou; Mu Cai; Jianrui Zhang; Yong Jae Lee (EMNLP, 2024)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Mu Cai; Reuben Tan; Jianrui Zhang; Bocheng Zou; Kai Zhang 039; Feng Yao; Fangrui Zhu; Jing Gu; Yiwu Zhong; Yuzhang Shang; Yao Dou; Jaden Park; et al. (CoRR, 2024)

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want. - Weifeng Lin; Xinyu Wei; Ruichuan An; Peng Gao 007; Bocheng Zou; Yulin Luo; Siyuan Huang 004; Shanghang Zhang; Hongsheng Li 001 (ICLR, 2025)

UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens. - Ruichuan An; Sihan Yang; Renrui Zhang; Zijun Shen; Ming Lu; Gaole Dai; Hao Liang; Ziyu Guo; Shilin Yan; Yulin Luo; Bocheng Zou; Chaoqun Yang; et al. (CoRR, 2025)