ControlLLM: Augment Language Models with Tools by Searching on Graphs. - Zhaoyang Liu 001; Zeqiang Lai; Zhangwei Gao; Erfei Cui; Zhiheng Li; Xizhou Zhu; Lewei Lu; Qifeng Chen; Yu Qiao 001; Jifeng Dai; Wenhai Wang (CoRR, 2023)

ControlLLM: Augment Language Models with Tools by Searching on Graphs. - Zhaoyang Liu 001; Zeqiang Lai; Zhangwei Gao; Erfei Cui; Ziheng Li; Xizhou Zhu; Lewei Lu; Qifeng Chen; Yu Qiao 001; Jifeng Dai; Wenhai Wang (ECCV (12), 2024)

How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites. - Zhe Chen 017; Weiyun Wang; Hao Tian 006; Shenglong Ye; Zhangwei Gao; Erfei Cui; Wenwen Tong; Kongzhi Hu; Jiapeng Luo; Zheng Ma; Ji Ma; Jiaqi Wang 003; et al. (Sci. China Inf. Sci., 2024)

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework. - Junxian Li 001; Bin Shi; Erfei Cui; Hua Wei 001; Qinghua Zheng (CoRR, 2024)

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. - Qingyun Li; Zhe Chen 017; Weiyun Wang; Wenhai Wang; Shenglong Ye; Zhenjiang Jin; Guanzhou Chen 004; Yinan He; Zhangwei Gao; Erfei Cui; Jiashuo Yu; Hao Tian 006; et al. (CoRR, 2024)

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance. - Zhangwei Gao; Zhe Chen 017; Erfei Cui; Yiming Ren; Weiyun Wang; Jinguo Zhu; Hao Tian 006; Shenglong Ye; Junjun He; Xizhou Zhu; Lewei Lu; Tong Lu; et al. (CoRR, 2024)

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling. - Zhe Chen 017; Weiyun Wang; Yue Cao; Yangzhou Liu; Zhangwei Gao; Erfei Cui; Jinguo Zhu; Shenglong Ye; Hao Tian 006; Zhaoyang Liu 001; Lixin Gu; Xuehui Wang; et al. (CoRR, 2024)

Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance. - Zhangwei Gao; Zhe Chen 017; Erfei Cui; Yiming Ren; Weiyun Wang; Jinguo Zhu; Hao Tian 006; Shenglong Ye; Junjun He; Xizhou Zhu; Lewei Lu; Tong Lu; et al. (Vis. Intell., 2024)

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text. - Qingyun Li; Zhe Chen 017; Weiyun Wang; Wenhai Wang; Shenglong Ye; Zhenjiang Jin; Guanzhou Chen 004; Yinan He; Zhangwei Gao; Erfei Cui; Jiashuo Yu; Hao Tian 006; et al. (ICLR, 2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. - Jinguo Zhu; Weiyun Wang; Zhe Chen 017; Zhaoyang Liu 001; Shenglong Ye; Lixin Gu; Hao Tian 006; Yuchen Duan; Weijie Su 002; Jie Shao; Zhangwei Gao; Erfei Cui; et al. (CoRR, 2025)

Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR. - Yulong Zhang; Tianyi Liang; Xinyue Huang; Erfei Cui; Xu Guo; Pei Chu; Chenhui Li; Ru Zhang; Wenhai Wang; Gongshen Liu (CoRR, 2025)

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces. - Gen Luo; Ganlin Yang; Ziyang Gong; Guanzhou Chen 004; Haonan Duan 001; Erfei Cui; Ronglei Tong; Zhi Hou; Tianyi Zhang; Zhe Chen 017; Shenglong Ye; Lewei Lu; et al. (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)