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Liu Leqi is an AI researcher currently focusing on understanding and developing large language models. His overarching research goal is to build controllable machine intelligence that serves humanity safely. His work spans key areas, including investigating the foundations of state-of-the-art machine intelligence, with a particular focus on generative AI systems; designing principled frameworks for human-centered machine learning models that align with human preferences and behaviors; and evaluating the societal impacts of large-scale AI systems, especially large language models and recommender systems. He holds an appointment as an Assistant Professor in the Department of Information, Risk, and Operations Management and is a core member of the Machine Learning Laboratory at the University of Texas. He seeks motivated students who share similar research interests to join his lab, particularly those exploring generalization behaviors in large language models.
University of Texas at Austin • Austin, TX
Focus on AI research, particularly in machine learning and large language models.
Open Philanthropy • string
Worked on research related to AI applications.
University of Texas at Austin • Austin, TX
Researching human-centered AI and machine learning models.
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