AINeutralarXiv – CS AI · 9h ago6/10
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MASF: A Multi-Model Adaptive Selection Framework for Abstractive Text summarization
Researchers propose MASF, a Multi-Model Adaptive Selection Framework that combines multiple fine-tuned transformer models with automatic evaluation metrics to improve abstractive text summarization quality. The framework achieves a BERTScore of 88.63% on the CNN/DailyMail dataset, outperforming several large language models including GPT3-D2 and Falcon-7b.