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Adithya Kulkarni is an Assistant Professor in the Department of Computer Science at Ball State University. His research focuses on weak supervision, true label inference, and leveraging large language models (LLMs) for scientific knowledge creation and validation. His work has been published in top venues such as ACL, SIGKDD, UAI, ICDM, SDM, and PAKDD, with a broader goal of reducing annotation costs and enabling autonomous scientific discovery through AI.

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