Responsibilities include:
- Federated Fine-tuning of LLMs: Exploring the possibilities of tuning large models based on federated learning, mainly addressing communication overhead and memory cost issues.
- Multi-Modal LLMs: Exploring the data-centric techniques of MLLMs.
- System Development: Participating in the development of two open-source projects, i.e., FederatedScope and DataJuicer.