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Analysis-of-Large-Language-Models-For-Text-Summarization

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This study aims to fill this gap created by the exponential growth of digital content by evaluating the performance of selected LLMs in terms of summarization quality, using automated evaluation metrics. The goal is to identify the most effective models for generating accurate and human-like summaries, providing valuable insights for practitioners.

Creat2024-11-01T06:50:20
Update2025-05-22T21:18:25
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