Summary of Evaluating Gpt-3.5’s Awareness and Summarization Abilities For European Constitutional Texts with Shared Topics, by Candida M. Greco et al.
Evaluating GPT-3.5’s Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics
by Candida M. Greco, A. Tagarelli
First submitted to arxiv on: 25 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Digital Libraries (cs.DL); Physics and Society (physics.soc-ph)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study leverages generative large language models to analyze constitutional passages that transcend national boundaries, focusing on citizens’ rights and duties (RD) in European countries. Using the renowned GPT-3.5 model, researchers apply abstractive summarization techniques to a multi-source collection of constitutional texts. The results show that GPT-3.5 can produce informative, coherent, and faithful summaries capturing RD topics across European countries. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study uses special computer models to analyze important documents from different countries called constitutions. They look at parts of the constitution that talk about people’s rights and responsibilities. By using these models, they can understand and summarize what these passages say, even if they’re written in a language or culture that’s not their own. |
Keywords
» Artificial intelligence » Gpt » Summarization
