# High ROUGE Scores

PEGASUS-XSum is a pre-trained text summarization model based on the PEGASUS architecture, specifically optimized for extreme summarization (XSum) tasks.

A model fine-tuned based on google/flan-t5-base, specifically designed for the abstractive summarization task of refining scientific abstracts into concise titles.

A dialogue summarization model based on the BART architecture, specifically fine-tuned for the SAMSum dialogue dataset

A text summarization model trained on the AutoTrain platform, utilizing the BART-Longformer architecture

A large-scale summarization model based on the Long-T5 architecture, specifically optimized for book and long document summarization tasks

A book summarization model based on the Long-T5 architecture, capable of processing long documents and generating high-quality summaries.

A large-scale summarization model based on the Long-T5 architecture, specifically optimized for long-document summarization tasks, supporting a context length of 16,384 tokens.

This model is a fine-tuned version of facebook/bart-base on the samsum dataset, specifically designed for summarization tasks.

A Longformer Encoder-Decoder model fine-tuned on the ILC dataset, specifically designed for legal document summarization tasks

A text summarization model based on the BART-large architecture, fine-tuned for 10 epochs on an unknown dataset, excelling in generating resume summaries.

This is a sequence-to-sequence model based on the BART architecture, specifically designed for dialogue summarization tasks.

A bilingual summarization model based on multilingual T5, supporting English and German text summarization tasks

This model is a seq2seq model based on the BART architecture, specifically designed for dialogue summarization tasks, fine-tuned on the SAMSum dataset.

A sequence-to-sequence model based on the BART architecture, specifically designed for abstractive summarization of meeting dialogues, supporting multilingual meeting record processing.

This model is a BART-large-xsum model fine-tuned on the Samsum dataset, specifically designed for dialogue summarization tasks.

BigBird is a Transformer model based on sparse attention, capable of handling longer sequences, suitable for tasks like long document summarization.

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