LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model - Yulin Luo; Ruichuan An; Bocheng Zou; Yiming Tang; Jiaming Liu; Shanghang Zhang (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIII, 2024)

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation - Bocheng Zou; Mu Cai; Jianrui Zhang; Yong Jae Lee (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want - Weifeng Lin; Xinyu Wei; Ruichuan An; Peng Gao; Bocheng Zou; Yulin Luo; Siyuan Huang; Shanghang Zhang; Hongsheng Li (CoRR, 2024)

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

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

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

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