Bart Large Cnn Xsum

BART model pre-trained on English corpus, specifically fine-tuned for the CNN/Daily Mail dataset, suitable for text summarization tasks

Parrot is a T5-based paraphrasing framework designed to accelerate the training of Natural Language Understanding (NLU) models through high-quality paraphrase generation for data augmentation.

DistilBART is a distilled version of the BART model, specifically optimized for text summarization tasks, significantly improving inference speed while maintaining high performance.

A T5-based model specialized in extracting atomic claims from summary texts, serving as a key component in summary factuality assessment pipelines.

UniEval is a unified multidimensional evaluator for automatic evaluation of natural language generation tasks, supporting assessment across multiple interpretable dimensions.

A text paraphrasing model fine-tuned based on the PEGASUS architecture, capable of generating sentences with the same meaning but different expressions.

This is a Korean text summarization model based on the T5 architecture, specifically designed for Korean text summarization tasks. It is trained on multiple Korean datasets by fine-tuning the paust/pko-t5-base model.

PEGASUS is a Transformer-based pretrained model specifically designed for abstractive text summarization tasks.

A dialogue summarization model based on the BART-large architecture, fine-tuned specifically for the SAMSum corpus, suitable for generating dialogue summaries.

A Korean text summarization model based on the KoBART architecture, capable of generating concise summaries of Korean news articles.