Evaluating and measuring intelligence in Neural Language Models: a methodological approach

The article proposes a new methodological approach to assessing AI systems – especially LLMs – in the context of user interaction. The paper also raises fundamental questions about AI evaluation and the development of new analytical frameworks for AI systems which may focus on their capabilities and on the theoretical and practical grounds for classifying them as intelligent.