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Build an abstractive summarizer based on PLM and Fine-Tuning


Qiang Fu

06/09/2025

Supervised by Nedjma Ousidhoum; Moderated by Andrew Hood

In today’s Internet world, we read a lot of information every day, and it is not easy to quickly understand the main ideas of long articles or papers. This project aims to create a tool that can automatically produce short, clear summaries in natural language, so people can save time and learn more efficiently. The tool will be built using advanced language technology that learns from large amounts of text.


Final Report (06/09/2025) [Zip Archive]

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