Multi Document Summarization On Multi News
Metrics
ROUGE-1
ROUGE-2
ROUGE-L
Results
Performance results of various models on this benchmark
Model Name | ROUGE-1 | ROUGE-2 | ROUGE-L | Paper Title | Repository |
|---|---|---|---|---|---|
| PRIMER | 49.9 | 21.1 | 25.9 | PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization | |
| CopyTransformer | 43.57 | 14.03 | - | Bottom-Up Abstractive Summarization | |
| Hi-MAP | 43.47 | 14.89 | - | Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | |
| CTF+DPP | 45.84 | 15.94 | - | Multi-Document Summarization withDeterminantal Point Process Attention | - |
| PG-BRNN | 42.80 | 14.19 | - | Bottom-Up Abstractive Summarization | |
| LongT5 | 48.17 | 19.43 | - | LongT5: Efficient Text-To-Text Transformer for Long Sequences |
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