PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

By Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan. 2021

31 citations recorded by the source corpus.

Subfields: Large Language Models, Summarization

Citations in the corpus

• Multi-document Summarization via Deep Learning Techniques: A Survey (2020, unknown): “PRIMER [164] is a pre-trained model specifically designed for MDS that can serve as a zero-shot summarizer.”
• LongT5: Efficient Text-To-Text Transformer for Long Sequences (2021, unknown): “, 2021), DANCER PEGASUS (Gidiotis and Tsoumakas, 2020), PRIMER (Xiao et al., 2021), TG-MultiSum (Cui and Hu, 2021), LED (Beltagy et al.”