My research focuses on advancing the capabilities of Large Language Models (LLMs) as intelligent agents, with a particular emphasis on causality-inspired world modeling and planning. Key areas of investigation include:

• LLMs as Causal Agents: Exploring how LLMs can be enhanced with causal reasoning capabilities to make more informed decisions and generate more accurate predictions in complex environments.

• Causal World Models: Developing frameworks that integrate causal representation learning with LLMs to create more robust and interpretable world models.

• Planning and Decision-Making: Investigating novel approaches to long-horizon planning and decision-making using LLMs equipped with causal world models.