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FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 52× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. Retrieved May 24, 2026, from https://4ort.xyz/entity/factpegasus-factuality-aware-pre-training-and-fine-tuning-for-abstractive-summarization
MLA“FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/factpegasus-factuality-aware-pre-training-and-fine-tuning-for-abstractive-summarization.
BibTeX@misc{4ortxyz_factpegasus-factuality-aware-pre-training-and-fine-tuning-for-abstractive-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization}}, year = {2026}, url = {https://4ort.xyz/entity/factpegasus-factuality-aware-pre-training-and-fine-tuning-for-abstractive-summarization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization — https://4ort.xyz/entity/factpegasus-factuality-aware-pre-training-and-fine-tuning-for-abstractive-summarization (retrieved 2026-05-24)
