mlsanityData to 14 Oct 2026

MeetingBank: A Benchmark Dataset for Meeting Summarization

arXiv 2305.17529 ↗First posted 27 May 2023cs.CLcited by 84

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Abstract (arXiv)

As the number of recorded meetings increases, it becomes increasingly important to utilize summarization technology to create useful summaries of these recordings. However, there is a crucial lack of annotated meeting corpora for developing this technology, as it can be hard to collect meetings, especially when the topics discussed are confidential. Furthermore, meeting summaries written by experienced writers are scarce, making it hard for abstractive summarizers to produce sensible output without a reliable reference. This lack of annotated corpora has hindered the development of meeting summarization technology. In this paper, we present MeetingBank, a new benchmark dataset of city council meetings over the past decade. MeetingBank is unique among other meeting corpora due to its divide-and-conquer approach, which involves dividing professionally written meeting minutes into shorter passages and aligning them with specific segments of the meeting. This breaks down the process of summarizing a lengthy meeting into smaller, more manageable tasks. The dataset provides a new testbed of various meeting summarization systems and also allows the public to gain insight into how council decisions are made. We make the collection, including meeting video links, transcripts, reference summaries, agenda, and other metadata, publicly available to facilitate the development of better meeting summarization techniques. Our dataset can be accessed at: https://meetingbank.github.io

Key facts. Cited by 84 papers in the map (data through 14 Oct 2026). Builds on 37 of its 68 references that are in the map. First posted on arXiv 27 May 2023.

Builds on

37 of 68 references.

References · 37

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
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  8. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
  9. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,102
  10. 2020SummEval: Re-evaluating Summarization Evaluationcited by 674
  11. 2019SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarizationcited by 535
  12. 2023Benchmarking Large Language Models for News Summarizationcited by 445
25 more
  1. 2019Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Modelcited by 431
  2. 2019MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distancecited by 418
  3. 2021QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarizationcited by 365
  4. 2021Efficient Attentions for Long Document Summarizationcited by 345
  5. 2022News Summarization and Evaluation in the Era of GPT-3cited by 327
  6. 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 294
  7. 2021DialogSum: A Real-Life Scenario Dialogue Summarization Datasetcited by 183
  8. 2020MedDialog: Two Large-scale Medical Dialogue Datasetscited by 161
  9. 2019BillSum: A Corpus for Automatic Summarization of US Legislationcited by 117
  10. 2021MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarizationcited by 104
  11. 2020Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summarycited by 88
  12. 2021SummScreen: A Dataset for Abstractive Screenplay Summarizationcited by 79
  13. 2021DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarizationcited by 72
  14. 2021Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documentscited by 65
  15. 2022Making Science Simple: Corpora for the Lay Summarisation of Scientific Literaturecited by 55
  16. 2018Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximizationcited by 46
  17. 2022Toward Unifying Text Segmentation and Long Document Summarizationcited by 28
  18. 2020Screenplay Summarization Using Latent Narrative Structurecited by 23
  19. 2021StreamHover: Livestream Transcript Summarization and Annotationcited by 15
  20. 2020How Domain Terminology Affects Meeting Summarization Performancecited by 14
  21. 2021A Sliding-Window Approach to Automatic Creation of Meeting Minutescited by 14
  22. 2021A preliminary study on evaluating Consultation Notes with Post-Editingcited by 10
  23. 2022Towards Abstractive Grounded Summarization of Podcast Transcriptscited by 8
  24. 2021SummerTime: Text Summarization Toolkit for Non-expertscited by 6
  25. 2020Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creationcited by 1

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Citing papers per year: 2023: 6; 2024: 26; 2025: 20; 2026: 32.

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  1. 2024LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compressioncited by 348
  2. 2024MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documentscited by 257
  3. 2024Continual Learning of Large Language Models: A Comprehensive Surveycited by 234
  4. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
  5. 2023TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Modelscited by 66
  6. 2024TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarizationcited by 66
  7. 2023Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Modelscited by 47
  8. 2024AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledgecited by 37
  9. 2023Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspectivecited by 34
  10. 2024Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLPcited by 27
  11. 2024Learning to Summarize from LLM-generated Feedbackcited by 24
  12. 2024TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learningcited by 22
38 more
  1. 2025Benchmarking LLM Faithfulness in RAG with Evolving Leaderboardscited by 20
  2. 2024Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Coursecited by 19
  3. 2024CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generationcited by 18
  4. 2024SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generationcited by 12
  5. 2025Forget Forgetting: Continual Learning in a World of Abundant Memorycited by 11
  6. 2025Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languagescited by 11
  7. 2025Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluationcited by 10
  8. 2024GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarizationcited by 9
  9. 2024Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarizationcited by 9
  10. 2025MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaborationcited by 9
  11. 2025OASIS: Online Sample Selection for Continual Visual Instruction Tuningcited by 9
  12. 2024PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learningcited by 8
  13. 2026On-Policy Replay for Continual Supervised Fine-Tuningcited by 8
  14. 2023Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarizationcited by 6
  15. 2023Zebra: Extending Context Window with Layerwise Grouped Local-Global Attentioncited by 6
  16. 2024Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcriptscited by 6
  17. 2025Dynamic Compressing Prompts for Efficient Inference of Large Language Modelscited by 6
  18. 2024Topic-Conversation Relevance (TCR) Dataset and Benchmarkscited by 5
  19. 2025EFPC: Towards Efficient and Flexible Prompt Compressioncited by 5
  20. 2025Summarizing Speech: A Comprehensive Surveycited by 5
  21. 2024Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarizationcited by 4
  22. 2024Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluatorcited by 4
  23. 2024Learning to Verify Summary Facts with Fine-Grained LLM Feedbackcited by 4
  24. 2025ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedbackcited by 4
  25. 2025MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scorescited by 4
  26. 2024Leveraging Discourse Structure for Extractive Meeting Summarizationcited by 3
  27. 2024Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMscited by 3
  28. 2025FaithLens: Detecting and Explaining Faithfulness Hallucinationcited by 3
  29. 2024Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errorscited by 2
  30. 2024Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learningcited by 2
  31. 2025You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversationscited by 2
  32. 2025Parameter Importance-Driven Continual Learning for Foundation Modelscited by 2
  33. 2023Zero-shot Conversational Summarization Evaluations with small Large Language Modelscited by 1
  34. 2025What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarizationcited by 1
  35. 2025Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressorcited by 1
  36. 2026Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarizationcited by 1
  37. 2026Reliability-Aware Determinantal Point Processes for Robust Informative Data Selection in Large Language Modelscited by 1
  38. 2026MMTB: Evaluating Terminal Agents on Multimedia-File Taskscited by 1

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