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InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Vision-Language Models report from Shanghai AI Laboratory with 27 connected researchers in the LLMpeople atlas.
Connected researchers
Researcher
2 reports
Zhe Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Researcher
3 reports
Jiaqi Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Researcher
3 reports
Yu Qiao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Researcher
3 reports
Dahua Lin
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM2 Technical Report.
Researcher
2 reports
Ziyu Shao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
2 reports
Xiaogang Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
2 reports
Zhongyue Zhang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
2 reports
Yuhang Zang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Yao Zhu
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Weijie Liu
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Yujia Qin
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Yingjie Chen
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Kaipeng Zhang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
2 reports
Yixiao Ge
Shanghai AI Laboratory
Yixiao Ge is a Research Scientist at Shanghai AI Laboratory and OpenGVLab. His work focuses on multimodal large language models, computer vision, efficient deep learning, and vision-language understanding.
Researcher
1 reports
Yabin Zhang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Jiangning Zhang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Jinpeng Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Kai Chen
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Jifeng Dai
Shanghai AI Laboratory
Jifeng Dai is a tenured associate professor in electronic engineering at Tsinghua University and founder of Fundamental Vision. His research spans computer vision, deep learning, multimodal learning, and autonomous driving. He previously worked at Microsoft Research Asia and SenseTime Research, and he received both his bachelor's and PhD degrees from Tsinghua University.
Researcher
1 reports
Ping Luo
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Meng Liao
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Hao Fei
Shanghai AI Laboratory
Research scientist at Shanghai AI Laboratory working on NLP and multimodal AI, and a co-author of InternLM-XComposer2.5.
Researcher
1 reports
Wei Liu
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.
Researcher
1 reports
Wenhai Wang
Shanghai AI Laboratory
Researcher at Shanghai AI Laboratory and coauthor of the InternLM-XComposer2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output.