Welcome to the FLAIR Lab (Frontier Language AI Research Lab). We develop language AI agents and teach them to understand human concepts, speak human languages, and perform logical reasoning. We are actively looking for self-motivated students!

Our recent research directions include:

• Robustness of LLMs and VLMs: Investigating the robustness challenges that lead to unpredictable behaviors in LLMs and VLMs, including vulnerabilities to adversarial inputs, inconsistencies across domains, and sensitivities to semantically irrelevant variations, with the goal of improving their reliability and stability in real-world applications.
• Multimodal Reasoning: Exploring how AI systems can effectively integrate, align, and reason over information from multiple modalities, such as text, images, and videos, to achieve a deeper and more coherent understanding of multimodal concepts and relationships.
• Multilingual Understanding: Studying how models acquire and represent shared knowledge across languages to enhance cross-lingual comprehension, facilitate knowledge transfer, and support equitable language understanding in globally diverse contexts.

For PhD Applicants: Please submit your application here and mention my name in it. Additionally, you can fill out this Google form to provide more information about yourself.

For MS students and undergrads at TAMU: Please take my course first. After that, feel free to reach out to my PhD students and fill out this Google form to provide more information about yourself.

For MS students and undergrads outside TAMU: We have openings for internships. Please fill out this Google form to provide more information about yourself.

For Postdoc Applicants: I currently do not have a plan for postdoc positions. However, if you come with your own funding, feel free to contact me via email.

Due to the large number of requests, I might not be able to respond to every email. However, I do read them and will follow up when there are open positions.