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Teeradaj Racharak
Teeradaj Racharak is an Associate Professor in the AI Algorithms Division at the Advanced Institute of So-Go-Chi (Convergence Knowledge) Informatics, Tohoku University, Japan,
and a Visiting Associate Professor at the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST). His research spans across knowledge representation
and reasoning, trustworthy machine learning, and neural-symbolic learning. Recent contributions include work on metaphoric testing for language models, weight-aware evaluation of
knowledge embeddings, argumentation mining in user-generated content, and underspecification analysis in image classification pipelines. These projects reflect his multidisciplinary approach
to advancing trustworthy AI across perception, language, and structured knowledge. In addition, Dr. Racharak is actively engaged in building frameworks and methodologies that support verifiable
and interpretable AI, contributing to a future in which intelligent systems can be both powerful and principled.
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