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Comparative Analysis of Pretrained Encoder-Decoder Transformer Models For Extreme Text Summarization by 01fe23bec318 is a document available to read on EtoBox.
This study examines the effectiveness of pre-trained transformer models, specifically T5 and BART, in the context of extreme text summarization. It analyzes their performance on the XSum and SciTLDR datasets, comparing results from fine-tuning and non-fine-tuning scenarios. The findings highlight the potential of these models to enhance information accessibility and support comprehension for users with cognitive challenges.
- Author
- 01fe23bec318
- Language
- EN