Introduction
Mao Song (毛松) is a researcher at Shanghai Artificial Intelligence Laboratory (Shanghai AI Lab, 上海人工智能实验室), where he focuses on pushing the boundaries of artificial intelligence through cutting-edge research in Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs). He also goes by the name “以往的月” on platforms such as Zhihu, Bilibili, and WeChat Official Account.
Research Interests
My research focuses on the intersection of language and vision, with particular emphasis on:
- Large Language Models (LLMs) - Advancing the capabilities of language understanding and generation
- Multimodal Large Language Models (MLLMs) - Bridging vision and language for unified AI systems
- Reasoning Models - Developing systems capable of complex logical reasoning
- Unified Understanding & Generation - Creating models that seamlessly integrate comprehension and creation
Academic Background
Master’s Degree - ShanghaiTech University
- Supervised by Prof. Hao Wang
Bachelor’s Degree - Beijing Institute of Technology
Get in Touch
I’m always excited to discuss research collaborations, innovative ideas, or potential opportunities. Feel free to reach out!
Email: [email protected]
Resume/CV: Download PDF
Find Me Online
About This Blog
This blog serves as my digital garden where I share insights, research notes, and explorations in the field of artificial intelligence. Here you’ll find:
- Technical Deep Dives - In-depth analyses of recent papers and models
- Research Notes - Thoughts and observations from my research journey
- Practical Guides - Tutorials and implementation details
- Reflections - Perspectives on AI trends and future directions
I occasionally create educational content on Bilibili to make complex AI concepts more accessible. Feel free to check it out and share your thoughts!