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Causal Reasoning in Language Models Causal reasoning is a fundamental cognitive ability that allows humans to understand the cause-and-effect relationships in the world around them. Recently, there has been a growing interest in integrating causal reasoning capabilities into language models, particularly in the field of natural language processing (NLP). This proposed special issue aims to explore the latest advancements and challenges in leveraging causal reasoning within language models, with a focus on both theoretical foundations and practical applications. Guest editors: Assoc. Prof. Michal Ptaszynski Kitami Institute of Technology, Department of Engineering, Kitami, Japan Assoc. Prof. Rafal Rzepka Hokkaido University, Faculty of Information Science and Technology, Sapporo, Japan Assoc. Prof. Rafal Urbaniak Basis Research Institute and University of Gdansk, Gdansk, Poland Special issue information: Possible Topics of Submission The papers in this special issue will collectively ex
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