Research Interests

My research primarily focuses on MultiModal Learning and Trustworthy & Interpretability AI, with a emphasis on the following areas:

• Vision + Language: Bridging the gap between language and vision representation, providing a foundation for more interpretable and controllable multimodal systems.
• Unify Multimodal Understanding and Generation: Bridging architectural differences between autoregressive and diffusion models via mutual promotion of understanding and generation.
• Mechanistic Interpretability: Understanding the internal mechanisms of LLMs and MLLMs.
• Hallucination, Factuality and Safety: Using the interpretability findings to help downstream tasks and design safer models.