PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization

PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization

Abstract With the exponential growth of digital content, Multi-Document Summarization (MDS) has become increasingly critical for synthesizing dispersed information into coherent and contextually relevant summaries. This paper presents PEGASUS-XL, an enhanced abstractive summarization framework that...

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Bibliographic Details
Main Authors: Rawan Alsultan, Alaa Sagheer, Hala Hamdoun, Lamya Alshamlan, Latifah Alfadhli
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Natural language processing
Abstractive summarization
Multi-document summarization
Saliency modeling
TF-IDF
SBERT embeddings
Online Access:https://doi.org/10.1038/s41598-025-11062-2
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https://doi.org/10.1038/s41598-025-11062-2

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