Inderjeet Nair receives Rackham International Student Fellowship

The fellowship was awarded based on his outstanding academic record and will support his continued research on advanced applications of large language models.
Inderjeet Nair headshot
Inderjeet Nair

Inderjeet Nair, a PhD student in computer science and engineering at the University of Michigan, has been awarded a Rackham International Student Fellowship in recognition of his exemplary academic record and potential. The fellowship will support his studies and research in CSE for the remainder of the 2024-2025 academic year.

Inderjeet is a second-year PhD student advised by Prof. Lu Wang. His research interests include making large language models (LLMs) pluralistically aligned with the diverse perspectives and viewpoints of the global population. His current work focuses on how LLMs can be employed to effectively extract the argumentative structure of text, with the goal of providing invaluable feedback to students on their essay compositions. Additionally, he is investigating the potential of incorporating diverse perspectives and cultural knowledge into a single model and exploring safety-related concerns with multi-agent systems and LLM tool integrations.

Inderjeet’s publications include several notable papers, such as “Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions,” which was presented at at EMNLP 2024, and “MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning,” which received an Area Chair Award at ACL 2024.

The Rackham International Student Fellowship recognizes international graduate students that demonstrate exceptional academic performance and potential. It is specifically meant to assist individuals who may not be eligible for other kinds of support due to citizenship. Nominees are selected based on their strong academic performance, progress toward their degree, and outstanding academic and professional promise.

The award will support Inderjeet’s continued research on pluralistic alignment in large language models and their advanced applications in education and structured commonsense reasoning.

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