TinyLLaVA: A Framework of Small-scale Large Multimodal Models. - Baichuan Zhou; Ying Hu; Xi Weng; Junlong Jia; Jie Luo 004; Xien Liu; Ji Wu 002; Lei Huang 015 (CoRR, 2024)

TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models. - Junlong Jia; Ying Hu; Xi Weng; Yiming Shi; Miao Li 003; Xingjian Zhang 007; Baichuan Zhou; Ziyu Liu; Jie Luo 004; Lei Huang 015; Ji Wu 002 (CoRR, 2024)

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios. - Baichuan Zhou; Haote Yang; Dairong Chen; Junyan Ye; Tianyi Bai; Jinhua Yu; Songyang Zhang; Dahua Lin; Conghui He; Weijia Li (AAAI, 2025)

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models. - Junyan Ye; Baichuan Zhou; Zilong Huang; Junan Zhang; Tianyi Bai; Hengrui Kang; Jun He; Honglin Lin; Zihao Wang; Tong Wu; Zhizheng Wu 001; Yiping Chen; et al. (ICLR, 2025)

LEGION: Learning to Ground and Explain for Synthetic Image Detection. - Hengrui Kang; Siwei Wen; Zichen Wen; Junyan Ye; Weijia Li; Peilin Feng; Baichuan Zhou; Bin Wang 065; Dahua Lin; Linfeng Zhang 001; Conghui He (CoRR, 2025)