# High ROUGE scores

A specialized version of the T5 transformer model optimized for text summarization, capable of generating concise and coherent summaries.

A text summarization model based on the BART-large architecture, specifically designed for generating lay summaries of scientific literature.

BART is a Transformer-based sequence-to-sequence model specifically designed for text summarization tasks.

A text summarization model fine-tuned based on google/long-t5-tglobal-base, performing well on XSum and CNN/DailyMail datasets.

This model is a text summarization model fine-tuned on the multi_news dataset based on distilbart-cnn-12-6, specifically designed for multi-document summarization tasks.