Best Abstractive

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BART large CNN

BART Large CNN is a sequence-to-sequence transformer model pre-trained on a massive dataset and fine-tuned for abstractive text summarization, generating concise summaries by reconstructing corrupted input text. (157 characters)

Text Summarizer Facebook Model Transformer Abstractive Cnn Dailymail

8.64 Great

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PEGASUS CNN/DailyMail

PEGASUS CNN/DailyMail is a transformer-based neural network trained on news articles and summaries to generate concise, abstractive text summaries of input documents.

Text Summarizer Google Model Transformer Abstractive Cnn Dailymail

8.48 Great

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BRIO CNN/DailyMail

BRIO CNN/DailyMail is a neural network model trained on news articles from CNN and the Daily Mail to generate concise summaries while preserving key information and factual accuracy.

Text Summarizer Research Model Abstractive Cnn Dailymail Reranking

8.38 Great

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DistilBART CNN 12-6

DistilBART CNN 12-6 is a computationally efficient text summarization model built by distilling BART and incorporating a convolutional neural network for improved factual recall and coherence in generated summaries.

Text Summarizer Huggingface Model Abstractive Cnn Dailymail Distilled

7.86 Good

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BertSum

BertSum is a neural network summarization approach utilizing pre-trained BERT embeddings to generate abstractive summaries of input texts, often prioritizing semantic understanding over direct extraction.

Text Summarizer Research Model Extractive Abstractive Bert

7.82 Good

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ProphetNet CNN/DailyMail

ProphetNet CNN/DailyMail utilizes a novel self-supervised pretraining objective alongside a Transformer architecture to generate abstractive summaries of news articles from the CNN/DailyMail dataset. (168 characters)

Text Summarizer Microsoft Model Transformer Abstractive Cnn Dailymail

7.74 Good

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