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Felix Morger is a postdoctoral researcher at the University of Gothenburg, specializing in Natural Language Processing (NLP) and language understanding. His research contributions include developing the Superlim evaluation benchmark for Swedish language understanding and working on projects related to stochastic parrots, which focus on evaluating and interpreting large language models. Morger has been actively involved in various workshops and conferences, including the Empirical Methods in Natural Language Processing and the CLASP Conference, where he presented on topics such as cross-lingual comparison and the analysis of language transfer. His works often address the challenges faced in the diagnostics and inference of under-resourced languages, contributing to a better understanding of language processing in Swedish and beyond.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).