Using Graph-Based Maximum Independent Sets with Large Language Models for Extractive Text Summarization

Large Language Models (LLMs) have shown a strong performance across various tasks but still face challenges in automatic text summarization. While they are effective in capturing semantic patterns from large corpora, they typically lack mechanisms for encoding structural relationships between senten...

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Bibliographic Details
Main Author: Cengiz Hark
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/12/6395
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