mlsanityData to 7 Oct 2026

WikiAsp: A Dataset for Multi-domain Aspect-based Summarization

arXiv 2011.07832 ↗First posted 16 Nov 2020cs.CLcited by 56

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Abstract (arXiv)

Aspect-based summarization is the task of generating focused summaries based on specific points of interest. Such summaries aid efficient analysis of text, such as quickly understanding reviews or opinions from different angles. However, due to large differences in the type of aspects for different domains (e.g., sentiment, product features), the development of previous models has tended to be domain-specific. In this paper, we propose WikiAsp, a large-scale dataset for multi-domain aspect-based summarization that attempts to spur research in the direction of open-domain aspect-based summarization. Specifically, we build the dataset using Wikipedia articles from 20 different domains, using the section titles and boundaries of each article as a proxy for aspect annotation. We propose several straightforward baseline models for this task and conduct experiments on the dataset. Results highlight key challenges that existing summarization models face in this setting, such as proper pronoun handling of quoted sources and consistent explanation of time-sensitive events.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Nov 2020.

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Citing papers per year: 2021: 3; 2022: 6; 2023: 10; 2024: 24; 2025: 11; 2026: 2.

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  1. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  2. 2023Active Retrieval Augmented Generationcited by 506
  3. 2023Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificitycited by 204
  4. 2024FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Researchcited by 165
  5. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  6. 2024BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Modelscited by 84
  7. 2021Can We Automate Scientific Reviewing?cited by 63
  8. 2022SQuALITY: Building a Long-Document Summarization Dataset the Hard Waycited by 50
  9. 2022Models and Datasets for Cross-Lingual Summarisationcited by 36
  10. 2025A Survey on Knowledge-Oriented Retrieval-Augmented Generationcited by 34
  11. 2022NEWTS: A Corpus for News Topic-Focused Summarizationcited by 27
  12. 2022OASum: Large-Scale Open Domain Aspect-based Summarizationcited by 24
38 more
  1. 2025SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reductioncited by 24
  2. 2024ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publicationscited by 20
  3. 2024MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflowscited by 19
  4. 2021CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notescited by 18
  5. 2023Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Surveycited by 18
  6. 2025PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generationcited by 18
  7. 2024Mitigating Entity-Level Hallucination in Large Language Modelscited by 17
  8. 2024From Single to Multi: How LLMs Hallucinate in Multi-Document Summarizationcited by 17
  9. 2024RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generationcited by 16
  10. 2023ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?cited by 15
  11. 2023OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarizationcited by 15
  12. 2024Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Studycited by 13
  13. 2025Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generationcited by 13
  14. 2022SentBS: Sentence-level Beam Search for Controllable Summarizationcited by 10
  15. 2024LexAbSumm: Aspect-based Summarization of Legal Decisionscited by 9
  16. 2024DOLOMITES: Domain-Specific Long-Form Methodical Taskscited by 8
  17. 2025RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Modelscited by 8
  18. 2023Concise Answers to Complex Questions: Summarization of Long-form Answerscited by 7
  19. 2024Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design Perspectivecited by 7
  20. 2025WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipediacited by 6
  21. 2021TWAG: A Topic-Guided Wikipedia Abstract Generatorcited by 5
  22. 2022Unsupervised Multi-Granularity Summarizationcited by 5
  23. 2023USB: A Unified Summarization Benchmark Across Tasks and Domainscited by 5
  24. 2024Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Textscited by 5
  25. 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Modelscited by 5
  26. 2024On The Persona-based Summarization of Domain-Specific Documentscited by 4
  27. 2025MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collectionscited by 4
  28. 2025From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systemscited by 4
  29. 2024Aspect-oriented Consumer Health Answer Summarizationcited by 3
  30. 2024MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarizationcited by 3
  31. 2024PerSEval: Assessing Personalization in Text Summarizerscited by 3
  32. 2024Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarizationcited by 3
  33. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  34. 2023A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarizationcited by 2
  35. 2024Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!cited by 2
  36. 2026TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practicescited by 2
  37. 2023XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languagescited by 1
  38. 2024Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decompositioncited by 1

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