Native unified model

Talker: Weiyang Jin

Bio: Weiyang Jin is now the intern at New York University advised by Prof. Saining Xie. His research interests are about MLLMs/VLMs and visual representation learning

Key note:

• Introdues the defination of native MLLMs and current works.
• Analyze the possible architecture of the current strongest closed-source model.
• Introducing insights from recent papers about revealing the model principle.
• Discuss the pros and cons of both systems and possible future development directions.

Bilibili Link