Evaluating GPT-3.5's Awareness and Summarization Abilities for European
  Constitutional Texts with Shared Topics
Candida M. Greco A. Tagarelli
Constitutions are foundational legal documents that underpin the governmental
and societal structures. As such, they are a reflection of a nation's cultural
and social uniqueness, but also contribute to establish topics of universal
importance, like citizens' rights and duties (RD). In this work, using the
renowned GPT-3.5, we leverage generative large language models to understand
constitutional passages that transcend national boundaries. A key contribution
of our study is the introduction of a novel application of abstractive
summarization on a multi-source collection of constitutional texts, with a
focus on European countries' constitution passages related to RD topics. Our
results show the meaningfulness of GPT-3.5 to produce informative, coherent and
faithful summaries capturing RD topics across European countries.