Finetuning a pretrained decoder-only transformer with a plain language-modeling objective yields competitive ROUGE-1 and ROUGE-2 scores on CNN/DailyMail and XSum without sequence-to-sequence components or beam search.
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Repurposing Decoder-Transformer Language Models for Abstractive Summarization
Finetuning a pretrained decoder-only transformer with a plain language-modeling objective yields competitive ROUGE-1 and ROUGE-2 scores on CNN/DailyMail and XSum without sequence-to-sequence components or beam search.