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Pegasus Multi News Headline
A news headline generation model fine-tuned from google/pegasus-multi_news, excelling at generating concise headlines from multi-document input
Downloads 18
Release Time : 3/2/2022
Model Overview
This model is a sequence-to-sequence model based on the PEGASUS architecture, specifically optimized for multi-document summarization and headline generation tasks
Model Features
Multi-Document Processing Capability
Effectively processes multiple input documents and generates coherent summaries or headlines
Efficient Summarization Generation
Performs well on Rouge metrics, particularly suitable for news headline generation tasks
Pre-trained + Fine-tuned Architecture
Based on the large-scale pre-trained PEGASUS model, fine-tuned for specific tasks
Model Capabilities
Multi-Document Summarization
News Headline Generation
Text Compression
Key Information Extraction
Use Cases
News Media
Automatic News Headline Generation
Automatically generates concise and accurate headlines for news content from multiple sources
Rouge1 score of 41.616, indicating high similarity between generated content and reference headlines
News Brief Production
Generates concise news briefs from multiple related reports
Content Aggregation
Multi-Source Content Summarization
Generates unified summaries for similar content from different sources
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