Papers › PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan
We introduce PRIMERA, a pre-trained model for multi-document representation with a focus on summarization that reduces the need for dataset-specific architectures and large amounts of fine-tuning labeled data. PRIMERA uses our newly proposed pre-training objective designed to teach the model to connect and aggregate information across documents. It also uses efficient encoder-decoder transformers to simplify the processing of concatenated input documents. With extensive experiments on 6 multi-document summarization datasets from 3 different domains on zero-shot, few-shot and full-supervised settings, PRIMERA outperforms current state-of-the-art dataset-specific and pre-trained models on most of these settings with large margins. The code and pre-trained models can be found at \url{https://github.com/allenai/PRIMER}.
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Code
Syntology Ran 4 of 7 code samples harvested from 2 repositories linked to this paper; 3 have no recorded run. Of those that ran: 1 ran · honoured contract; 2 ran · our draft was wrong; 1 ran · fixture could not drive it.
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Code Syntology ran Syntology
7 samples harvested; 4 ran; 1 honoured the contract we drafted; 3 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Document Summarization | Multi-News | PRIMER | ROUGE-1 | 49.9 | #1 of 6 | Archive leaderboard | report |
| Multi-Document Summarization | Multi-News | PRIMER | ROUGE-2 | 21.1 | #1 of 6 | Archive leaderboard | report |
| Multi-Document Summarization | Multi-News | PRIMER | ROUGE-L | 25.9 | #1 of 6 | Archive leaderboard | report |
| Multi-Document Summarization | WCEP | PRIMER | ROUGE-1 | 46.1 | #1 of 1 | Archive leaderboard | report |
| Multi-Document Summarization | WCEP | PRIMER | ROUGE-2 | 25.2 | #1 of 1 | Archive leaderboard | report |
| Multi-Document Summarization | WCEP | PRIMER | ROUGE-L | 37.9 | #1 of 1 | Archive leaderboard | report |
| Text Summarization | arXiv Summarization Dataset | PRIMER | ROUGE-1 | 47.6 | #1 of 4 | Archive leaderboard | report |
| Text Summarization | arXiv Summarization Dataset | PRIMER | ROUGE-2 | 20.8 | #1 of 4 | Archive leaderboard | report |
| Text Summarization | arXiv Summarization Dataset | PRIMER | ROUGE-L | 42.6 | #1 of 4 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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