mlsanityData to 14 Oct 2026

Deep Communicating Agents for Abstractive Summarization

arXiv 1803.10357 ↗First posted 27 Mar 2018cs.CLcited by 50

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Abstract (arXiv)

We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization. With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of the input text. These encoders are connected to a single decoder, trained end-to-end using reinforcement learning to generate a focused and coherent summary. Empirical results demonstrate that multiple communicating encoders lead to a higher quality summary compared to several strong baselines, including those based on a single encoder or multiple non-communicating encoders.

Key facts. Cited by 50 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Mar 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 23; 2022: 12; 2023: 5; 2024: 6; 2025: 3; 2026: 1.

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  1. 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 365
  2. 2021Efficient Attentions for Long Document Summarizationcited by 345
  3. 2022A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Modelscited by 129
  4. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  5. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  6. 2021DOC2PPT: Automatic Presentation Slides Generation from Scientific Documentscited by 70
  7. 2021CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learningcited by 68
  8. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  9. 2021Keep it Simple: Unsupervised Simplification of Multi-Paragraph Textcited by 45
  10. 2022Conditional Generation with a Question-Answering Blueprintcited by 44
  11. 2023Discrete Prompt Compression with Reinforcement Learningcited by 42
  12. 2021Hierarchical Learning for Generation with Long Source Sequencescited by 32
38 more
  1. 2022Towards Improving Faithfulness in Abstractive Summarizationcited by 27
  2. 2021BASS: Boosting Abstractive Summarization with Unified Semantic Graphcited by 21
  3. 2022Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarizationcited by 20
  4. 2021Data Augmentation for Abstractive Query-Focused Multi-Document Summarizationcited by 18
  5. 2021Controllable Summarization with Constrained Markov Decision Processcited by 17
  6. 2024Abstractive Text Summarization: State of the Art, Challenges, and Improvementscited by 17
  7. 2021How well do you know your summarization datasets?cited by 16
  8. 2023ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generationcited by 15
  9. 2021A New Approach to Overgenerating and Scoring Abstractive Summariescited by 13
  10. 2021Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarizationcited by 11
  11. 2024Keep It Private: Unsupervised Privatization of Online Textcited by 10
  12. 2021Attention Head Masking for Inference Time Content Selection in Abstractive Summarizationcited by 9
  13. 2021Rethinking Self-Supervision Objectives for Generalizable Coherence Modelingcited by 8
  14. 2021SgSum: Transforming Multi-document Summarization into Sub-graph Selectioncited by 8
  15. 2021Unsupervised Deep Keyphrase Generationcited by 7
  16. 2022FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systemscited by 7
  17. 2021SummerTime: Text Summarization Toolkit for Non-expertscited by 6
  18. 2021Automatic Document Sketching: Generating Drafts from Analogous Textscited by 4
  19. 2021Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applicationscited by 3
  20. 2021Dialogue Inspectional Summarization with Factual Inconsistency Awarenesscited by 3
  21. 2022SciBERTSUM: Extractive Summarization for Scientific Documentscited by 2
  22. 2022PREME: Preference-based Meeting Exploration through an Interactive Questionnairecited by 2
  23. 2022Universal Evasion Attacks on Summarization Scoringcited by 2
  24. 2023PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarizationcited by 2
  25. 2024CTISum: A New Benchmark Dataset For Cyber Threat Intelligence Summarizationcited by 2
  26. 2021A Condense-then-Select Strategy for Text Summarizationcited by 1
  27. 2025MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videoscited by 1
  28. 2021Augmented Abstractive Summarization With Document-LevelSemantic Graphcited by 0
  29. 2022Learning Cluster Patterns for Abstractive Summarizationcited by 0
  30. 2022Decentralized Coordination in Partially Observable Queueing Networkscited by 0
  31. 2022Improving Document Image Understanding with Reinforcement Finetuningcited by 0
  32. 2023Curriculum-Guided Abstractive Summarizationcited by 0
  33. 2023AST-MHSA : Code Summarization using Multi-Head Self-Attentioncited by 0
  34. 2024Extractive text summarisation of Privacy Policy documents using machine learning approachescited by 0
  35. 2024Write Summary Step-by-Step: A Pilot Study of Stepwise Summarizationcited by 0
  36. 2025Sentence Embeddings as an intermediate target in end-to-end summarisationcited by 0
  37. 2025Data Transformation Strategies to Remove Heterogeneitycited by 0
  38. 2026Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learningcited by 0