Personalized Summarization of Global News: Managing Bias with Large Language Models
As global information consumption accelerates, the demand for concise, relevant, and trustworthy news summaries has grown significantly. Large Language Models (LLMs) have demonstrated powerful capabilities in text summarization, yet current methods struggle to balance two critical goals: personalizi...
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| Muut tekijät: | , , , |
| Aineistotyyppi: | Pro gradu |
| Kieli: | eng |
| Julkaistu: |
2025
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| Aiheet: | |
| Linkit: | https://jyx.jyu.fi/handle/123456789/102950 |