Multi-Document Summarization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 113 papers with code (359 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Bottom-Up Abstractive Summarization
  31 Aug 2018 5 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  We use this selector as a bottom-up attention step to constrain the model to likely phrases.
• LongT5: Efficient Text-To-Text Transformer for Long Sequences
  15 Dec 2021 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Recent work has shown that either (1) increasing the input length or (2) increasing model size can improve the performance of Transformer-based neural models.
• Generating Wikipedia by Summarizing Long Sequences
  30 Jan 2018 4 repositories listed
  We show that generating English Wikipedia articles can be approached as a multi- document summarization of source documents.
• PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
  16 Oct 2021 3 repositories listed Syntology ran 4 of 7 samples · 3 unverified
  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.
• Scoring Sentence Singletons and Pairs for Abstractive Summarization
  31 May 2019 3 repositories listed
  There is thus a crucial gap between sentence selection and fusion to support summarizing by both compressing single sentences and fusing pairs.
• OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources
  3 May 2024 2 repositories listed
  We show that the estimated upper bound for extractive summarization increases by 217% in the ROUGE-2 score, when using full content instead of abstracts.
• An Extractive-Abstractive Approach for Multi-document Summarization of Scientific Articles for Literature Review
  1 Oct 2022 2 repositories listed
  Research in the biomedical domain is con- stantly challenged by its large amount of ever- evolving textual information.
• Proposition-Level Clustering for Multi-Document Summarization
  16 Dec 2021 2 repositories listed
  Text clustering methods were traditionally incorporated into multi-document summarization (MDS) as a means for coping with considerable information repetition.
• MS2: Multi-Document Summarization of Medical Studies
  13 Apr 2021 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In support of this goal, we release MS^2 (Multi-Document Summarization of Medical Studies), a dataset of over 470k documents and 20k summaries derived from the scientific literature.
• Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
  11 Oct 2020 2 repositories listed
  Recent work has proposed to summarize arguments by mapping them to a small set of expert-generated key points, where the salience of each key point corresponds to the number of its matching arguments.
• Global-aware Beam Search for Neural Abstractive Summarization
  15 Sep 2020 2 repositories listed
  A global scoring mechanism is then developed to regulate beam search to generate summaries in a near-global optimal fashion.
• Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
  25 Aug 2020 2 repositories listed
  We enlist medical professionals to evaluate generated summaries, and we find that modern summarization systems yield consistently fluent and relevant synopses, but that they are not always factual.
• Pre-training via Paraphrasing
  26 Jun 2020 2 repositories listed Syntology ran 15 of 18 samples · 3 unverified · 3 pointer-only (licence)
  The objective noisily captures aspects of paraphrase, translation, multi-document summarization, and information retrieval, allowing for strong zero-shot performance on several tasks.
• Leveraging Graph to Improve Abstractive Multi-Document Summarization
  20 May 2020 2 repositories listed
  Graphs that capture relations between textual units have great benefits for detecting salient information from multiple documents and generating overall coherent summaries.
• Centroid-based Text Summarization through Compositionality of Word Embeddings
  1 Apr 2017 2 repositories listed
  The textual similarity is a crucial aspect for many extractive text summarization methods.
• GenerationPrograms: Fine-grained Attribution with Executable Programs
  17 Jun 2025 1 repository listed
  Recent large language models (LLMs) achieve impressive performance in source-conditioned text generation but often fail to correctly provide fine-grained attributions for their outputs, undermining verifiability and…
• Improving Fairness of Large Language Models in Multi-document Summarization
  9 Jun 2025 1 repository listed
  While summary-level fairness focuses on individual summaries, corpus-level fairness focuses on a corpus of summaries.
• Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization
  22 May 2025 1 repository listed
  The exponential growth of scientific publications has made it increasingly difficult for researchers to stay updated and synthesize knowledge effectively.
• Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
  17 Apr 2025 1 repository listed
  Our method first estimates the optimal retrieval length as a function of the retriever, summarizer, and dataset.
• Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches
  10 Feb 2025 1 repository listed
  Automatically summarizing large text collections is a valuable tool for document research, with applications in journalism, academic research, legal work, and many other fields.
• Coverage-based Fairness in Multi-document Summarization
  11 Dec 2024 1 repository listed
  In this work, we propose a new summary-level fairness measure, Equal Coverage, which is based on coverage of documents with different social attribute values and considers the redundancy within documents.
• Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
  12 Nov 2024 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  This work highlights the importance of fairness in summarization and sets a benchmark for future research in fairness-aware NLP models.
• From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
  17 Oct 2024 1 repository listed
  When evaluating 5 LLMs on our benchmarks, we observe that on average, up to 75% of the content in LLM-generated summary is hallucinated, with hallucinations more likely to occur towards the end of the summaries.
• GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
  5 Oct 2024 1 repository listed
  News summarization in today's global scene can be daunting with its flood of multilingual content and varied viewpoints from different sources.
• GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization
  19 Aug 2024 1 repository listed
  Pre-trained language models are increasingly being used in multi-document summarization tasks.
• GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews
  11 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  In this paper, we introduce \sys, a summarization method designed to offer a concise yet comprehensive overview of scholarly reviews.
• The Power of Summary-Source Alignments
  2 Jun 2024 1 repository listed
  Multi-document summarization (MDS) is a challenging task, often decomposed to subtasks of salience and redundancy detection, followed by text generation.
• Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
  24 May 2024 1 repository listed
  Text generation has become more accessible than ever, and the increasing interest in these systems, especially those using large language models, has spurred an increasing number of related publications.
• Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
  23 May 2024 1 repository listed
  Understanding the nature of high-quality summaries is crucial to further improve the performance of multi-document summarization.
• Disentangling Specificity for Abstractive Multi-document Summarization
  12 May 2024 1 repository listed
  Multi-document summarization (MDS) generates a summary from a document set.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.