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Multi-document Summarization via Deep Learning Techniques: A Survey

arXiv 2011.04843 ↗First posted 10 Nov 2020cs.CL cs.LGcited by 58

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Abstract (arXiv)

Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents. Our survey, the first of its kind, systematically overviews the recent deep learning based MDS models. We propose a novel taxonomy to summarize the design strategies of neural networks and conduct a comprehensive summary of the state-of-the-art. We highlight the differences between various objective functions that are rarely discussed in the existing literature. Finally, we propose several future directions pertaining to this new and exciting field.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Nov 2020.

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Citing papers per year: 2021: 4; 2022: 9; 2023: 15; 2024: 16; 2025: 10; 2026: 4.

58 papers.

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  1. 2021Recursively Summarizing Books with Human Feedbackcited by 287
  2. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  3. 2023Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answeringcited by 28
  4. 2023Summarizing Multiple Documents with Conversational Structure for Meta-Review Generationcited by 27
  5. 2021A Survey on Multi-modal Summarizationcited by 26
  6. 2024Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challengescited by 18
  7. 2022A Survey on Medical Document Summarizationcited by 14
  8. 2025SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generationcited by 14
  9. 2023Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformerscited by 9
  10. 2024What's under the hood: Investigating Automatic Metrics on Meeting Summarizationcited by 9
  11. 2023PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Streamcited by 7
  12. 2024Automated Review Generation Method Based on Large Language Modelscited by 7
38 more
  1. 2023Medical Question Summarization with Entity-driven Contrastive Learningcited by 5
  2. 2025Document Intelligence in the Era of Large Language Models: A Surveycited by 5
  3. 2021Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Studycited by 4
  4. 2022Descartes: Generating Short Descriptions of Wikipedia Articlescited by 4
  5. 2023Compressed Heterogeneous Graph for Abstractive Multi-Document Summarizationcited by 3
  6. 2023Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarizationcited by 3
  7. 2023Multi-document Summarization: A Comparative Evaluationcited by 3
  8. 2023Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthinesscited by 3
  9. 2024Unsupervised Extraction of Dialogue Policies from Conversationscited by 3
  10. 2024GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?cited by 3
  11. 2024M2DS: Multilingual Dataset for Multi-document Summarisationcited by 3
  12. 2024TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMscited by 3
  13. 2024EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documentscited by 3
  14. 2022PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarizationcited by 2
  15. 2022Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architecturescited by 2
  16. 2023Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarizationcited by 2
  17. 2024Benchmarking LLMs on the Semantic Overlap Summarization Taskcited by 2
  18. 2021Dependency Structure for News Document Summarizationcited by 1
  19. 2022Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarizationcited by 1
  20. 2023RISC: Generating Realistic Synthetic Bilingual Insurance Contractcited by 1
  21. 2023PELMS: Pre-training for Effective Low-Shot Multi-Document Summarizationcited by 1
  22. 2024Multi-Review Fusion-in-Contextcited by 1
  23. 2024Disentangling Specificity for Abstractive Multi-document Summarizationcited by 1
  24. 2024LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarizationcited by 1
  25. 2024Customized Information and Domain-centric Knowledge Graph Construction with Large Language Modelscited by 1
  26. 2025Explainable identification of similarities between entities for discovery in large textcited by 1
  27. 2025Large Language Model-Based Generation of Discharge Summariescited by 1
  28. 2022Multi-Narrative Semantic Overlap Task: Evaluation and Benchmarkcited by 0
  29. 2022Predicting Intervention Approval in Clinical Trials through Multi-Document Summarizationcited by 0
  30. 2022Generating Tips from Song Reviews: A New Dataset and Frameworkcited by 0
  31. 2022Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarizationcited by 0
  32. 2023QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoningcited by 0
  33. 2023Recent Trends in Unsupervised Summarizationcited by 0
  34. 2023Leveraging Deep Learning for Abstractive Code Summarization of Unofficial Documentationcited by 0
  35. 2024SIFiD: Reassess Summary Factual Inconsistency Detection with LLMcited by 0
  36. 2024Cross-Document Event-Keyed Summarizationcited by 0
  37. 2025A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarizationcited by 0
  38. 2025A Structured Literature Review on Traditional Approaches in Current Natural Language Processingcited by 0

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