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...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2025-11-01
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| Collection: | Journal of King Saud University: Computer and Information Sciences |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/s44443-025-00333-7 |
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