研究人员在XL-Sum英文语料库上微调了PEGASUS模型，以提高抽象式摘要性能。该微调模型在XL-Sum英文语料库上取得了最先进的成果，在ROUGE分数上显示出显著的提高。具体而言，与基线mT5模型相比，该模型在ROUGE-1上提高了4.04%，在ROUGE-2上提高了15.25%，在ROUGE-L上提高了3.39%。 AI
影响 在XL-Sum英文语料库上确立了抽象式摘要新的最先进水平，可能影响文本摘要的未来研究和应用。
排序理由 该集群包含一篇研究论文，详细介绍了在特定数据集（XL-Sum英文语料库）上微调现有模型（PEGASUS）并报告基准测试结果（ROUGE分数）。
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arXiv:2606.25462v1 Announce Type: new Abstract: Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduction of trans…
Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduction of transformer models such as BART, T5, and PEGASUS has …
Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduction of transformer models such as BART, T5, and PEGASUS has …