Evaluation of Methods and Abstract Reasoning

The chapter discusses the evaluation of their methods and the possibility of being better in abstract reasoning. They explain the two parts of their model, XLSTM, and argue that their traditional semantic reasoning part may give them an advantage in abstract reasoning compared to other models. They highlight the importance of reasoning in an abstract space for complex tasks like coding or logic.