Intent-aware personalized summarization for educational texts with large language models
Abstract Personalized summarization seeks to tailor the summary content to an individual user’s goals, preferences, or learning needs, offering a more adaptive alternative to generic, one-size-fits-all summaries. However, current summarization systems largely neglect explicit modeling of user intent...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Springer
2025-11-01
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| Rangatū: | Journal of King Saud University: Computer and Information Sciences |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/s44443-025-00333-7 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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