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Nikolai Ilinykh is a postdoctoral researcher at the University of Gothenburg, specializing in natural language processing, particularly in the intersection of language and vision. His recent work includes contributions to various workshops and conferences focusing on multimodal interaction and the evaluation of language models. With a strong emphasis on the analysis of large language models, Ilinykh explores topics such as uncertainty in language generation and contextual variations in object naming. He has participated in numerous collaborative research projects, producing significant findings in the area of computational linguistics that highlight the challenges and advancements in understanding contextual features in multimodal data. His academic endeavors aim to bridge theoretical research with practical applications in AI-driven language processing technology.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).