mlsanityData to 14 Oct 2026

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

arXiv 2105.06762 ↗First posted 14 May 2021cs.CL cs.AIcited by 183

Not on the map. Why?

Abstract (arXiv)

Proposal of large-scale datasets has facilitated research on deep neural models for news summarization. Deep learning can also be potentially useful for spoken dialogue summarization, which can benefit a range of real-life scenarios including customer service management and medication tracking. To this end, we propose DialogSum, a large-scale labeled dialogue summarization dataset. We conduct empirical analysis on DialogSum using state-of-the-art neural summarizers. Experimental results show unique challenges in dialogue summarization, such as spoken terms, special discourse structures, coreferences and ellipsis, pragmatics and social common sense, which require specific representation learning technologies to better deal with.

Key facts. Cited by 183 papers in the map (data through 14 Oct 2026). Builds on 26 of its 37 references that are in the map. First posted on arXiv 14 May 2021.

Builds on

26 of 37 references.

References · 26

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  4. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
  5. 2015Teaching Machines to Read and Comprehendcited by 1,049
  6. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 828
  7. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 766
  8. 2017DailyDialog: A Manually Labelled Multi-turn Dialogue Datasetcited by 652
  9. 2019Evaluating the Factual Consistency of Abstractive Text Summarizationcited by 584
  10. 2019Text Summarization with Pretrained Encoderscited by 556
  11. 2019SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarizationcited by 535
  12. 2018Wizard of Wikipedia: Knowledge-Powered Conversational agentscited by 530
14 more
  1. 2017A Deep Reinforced Model for Abstractive Summarizationcited by 365
  2. 2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Trainingcited by 204
  3. 2019Neural Text Summarization: A Critical Evaluationcited by 189
  4. 2018Bottom-Up Abstractive Summarizationcited by 177
  5. 2019DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehensioncited by 156
  6. 2019Fine-tune BERT for Extractive Summarizationcited by 122
  7. 2019Text Generation from Knowledge Graphs with Graph Transformerscited by 122
  8. 2020MuTual: A Dataset for Multi-Turn Dialogue Reasoningcited by 115
  9. 2019Discourse-Aware Neural Extractive Text Summarizationcited by 105
  10. 2019On Extractive and Abstractive Neural Document Summarization with Transformer Language Modelscited by 83
  11. 2020Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarizationcited by 72
  12. 2018Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Actscited by 44
  13. 2019GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialoguecited by 33
  14. 2020Noisy Self-Knowledge Distillation for Text Summarizationcited by 31

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 23; 2023: 37; 2024: 44; 2025: 55; 2026: 21.

183 papers.

Sort:

By area:

  1. 2023MAGE: Machine-generated Text Detection in the Wildcited by 132
  2. 2023A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasetscited by 123
  3. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialoguecited by 123
  4. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
  5. 2024Aligner: Efficient Alignment by Learning to Correctcited by 98
  6. 2023MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversationcited by 97
  7. 2023SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoningcited by 94
  8. 2024Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Samplingcited by 90
  9. 2023MeetingBank: A Benchmark Dataset for Meeting Summarizationcited by 84
  10. 2023Tied-Lora: Enhancing parameter efficiency of LoRA with weight tyingcited by 65
  11. 2023Prompted LLMs as Chatbot Modules for Long Open-domain Conversationcited by 61
  12. 2022Graph Pre-training for AMR Parsing and Generationcited by 55
38 more
  1. 2026Stable On-Policy Distillation through Adaptive Target Reformulationcited by 53
  2. 2021A Survey on Dialogue Summarization: Recent Advances and New Frontierscited by 51
  3. 2021CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuningcited by 44
  4. 2023OmniVec: Learning robust representations with cross modal sharingcited by 44
  5. 2022InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuningcited by 39
  6. 2024Speculative Streaming: Fast LLM Inference without Auxiliary Modelscited by 38
  7. 2024Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Modelscited by 36
  8. 2023Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspectivecited by 34
  9. 2024Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trendscited by 25
  10. 2024Learning to Summarize from LLM-generated Feedbackcited by 24
  11. 2023DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIcited by 22
  12. 2025Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learningcited by 20
  13. 2021TODSum: Task-Oriented Dialogue Summarization with State Trackingcited by 19
  14. 2024FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Modelscited by 19
  15. 2022Instance-aware Prompt Learning for Language Understanding and Generationcited by 18
  16. 2023VCSUM: A Versatile Chinese Meeting Summarization Datasetcited by 18
  17. 2024DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applicationscited by 18
  18. 2024Progressive Mixed-Precision Decoding for Efficient LLM Inferencecited by 18
  19. 2025Multi-Token Prediction Needs Registerscited by 16
  20. 2022UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarizationcited by 15
  21. 2022Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarizationcited by 14
  22. 2023Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluationcited by 14
  23. 2024Evaluating Dialect Robustness of Language Models via Conversation Understandingcited by 14
  24. 2025OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learningcited by 14
  25. 2022Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactionscited by 13
  26. 2023Deliberate then Generate: Enhanced Prompting Framework for Text Generationcited by 13
  27. 2023Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap systemcited by 12
  28. 2023Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagationcited by 12
  29. 2023QualEval: Qualitative Evaluation for Model Improvementcited by 11
  30. 2024Derivative-Free Optimization for Low-Rank Adaptation in Large Language Modelscited by 11
  31. 2024Large Language Models are Contrastive Reasonerscited by 11
  32. 2024Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluationcited by 11
  33. 2025Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Modelscited by 11
  34. 2023SWING: Balancing Coverage and Faithfulness for Dialogue Summarizationcited by 10
  35. 2024Speculative Coreset Selection for Task-Specific Fine-tuningcited by 10
  36. 2025Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillationcited by 10
  37. 2023LMGQS: A Large-scale Dataset for Query-focused Summarizationcited by 9
  38. 2024Reward Generalization in RLHF: A Topological Perspectivecited by 9

50 most cited of 183 All 183 (JSON)