🚀 I recently wrote a overview article about **Model Merging**
✍️ I recently wrote a overview article about Model Merging, covering nearly 30 methods with detailed mathematical derivations.
😶🌫️Xuankun Yang
Undergraduate Student
About Me
I am currently studying for my undergraduate degree in Shanghai Jiao Tong University, majoring in artificial intelligence. I am very interested in many existing large model technologies and have some practical experience. My areas of interest are: multimodality models and ML. I am currently working on Model Merging and visual token prune for MLLMs. If you have the same interests or hobbies, let’s be friends!
📚 My Research
I have previously worked on PEFT(parameter-efficient fine-tuning).
I am currently working on research about Model Merging and visual token prune for MLLMs.
Maybe I will dive into the diffusion models, CV or AI4S research in the near feature.
Feel free to reach out to collaborate! 😃
Recent News
🚀 I have sorted out several projects I have done in recent months
✍️ In recent months, I have done some interesting projects, including ViT on CIFAR-10, Simple ML, ASR, etc.
🎉 I have opensourced my VAD project recently
📈 I conducted extensive experiments comparing frame division methods and model performances, with rich visualizations.