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Abhilasha Ravichander
Update: I will be joining the Max Planck Institute for Software Systems as an Assistant Professor starting Fall 2025! I will be recruiting Ph.D. students and interns. Please see this page for more details. I am a postdoctoral scholar at the Paul G. Allen Center for Computer Science and Engineering at the University of Washington, where I work with Yejin Choi. I received my PhD from Carnegie Mellon University in 2022.
My research is dedicated to making AI models trustworthy. I develop frameworks to ensure large language models (LLMs) are factual, transparent, and robust. My work focuses on three key areas:
Understanding Large Language Models: Developing a scientific understanding of how large language models operate, and the principles that govern their behavior.
Enabling Transparency and Control: Leveraging this understanding to construct new frameworks that provide greater transparency and give users more control over AI, including control over their data and how their data is used.
Developing User-Centric AI: Fostering an understanding of the expectations and needs of the users of AI systems, in order to create AI that is responsible, high-performing, and aligned with user goals.
For more about my work, please see my publications.
Abhilasha Ravichander
Abhilasha Ravichander
/ɑ.bʰi.ˈla.ʃə/
Update: I will be joining the Max Planck Institute for Software Systems as an Assistant Professor starting Fall 2025! I will be recruiting Ph.D. students and interns. Please see this page for more details. I am a postdoctoral scholar at the Paul G. Allen Center for Computer Science and Engineering at the University of Washington, where I work with Yejin Choi. I received my PhD from Carnegie Mellon University in 2022.