mlsanityData to 7 Oct 2026

SummIt: Iterative Text Summarization via ChatGPT

arXiv 2305.14835 ↗First posted 24 May 2023cs.CLcited by 53

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Abstract (arXiv)

Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step. However, the one-shot summarization setting is sometimes inadequate, as the generated summary may contain hallucinations or overlook essential details related to the reader's interests. This paper addresses this limitation by proposing SummIt, an iterative text summarization framework based on large language models like ChatGPT. Our framework enables the model to refine the generated summary iteratively through self-evaluation and feedback, resembling humans' iterative process when drafting and revising summaries. Furthermore, we explore the potential benefits of integrating knowledge and topic extractors into the framework to enhance summary faithfulness and controllability. We automatically evaluate the performance of our framework on three benchmark summarization datasets. We also conduct a human evaluation to validate the effectiveness of the iterative refinements and identify a potential issue of over-correction.

Key facts. Cited by 53 papers in the map (data through 7 Oct 2026). Builds on 34 of its 46 references that are in the map. First posted on arXiv 24 May 2023.

Builds on

34 of 46 references.

References · 34

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  5. 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
  6. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,317
  7. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,205
  8. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,308
  9. 2015Teaching Machines to Read and Comprehendcited by 1,039
  10. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 809
  11. 2019Evaluating the Factual Consistency of Abstractive Text Summarizationcited by 578
  12. 2019Text Summarization with Pretrained Encoderscited by 553
22 more
  1. 2023Benchmarking Large Language Models for News Summarizationcited by 444
  2. 2023GPTScore: Evaluate as You Desirecited by 357
  3. 2022News Summarization and Evaluation in the Era of GPT-3cited by 324
  4. 2022Generating Sequences by Learning to Self-Correctcited by 271
  5. 2020Extractive Summarization as Text Matchingcited by 189
  6. 2020Graph-Bert: Only Attention is Needed for Learning Graph Representationscited by 176
  7. 2020Evaluating Factuality in Generation with Dependency-level Entailmentcited by 122
  8. 2016Neural Summarization by Extracting Sentences and Wordscited by 114
  9. 2023RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputscited by 104
  10. 2022PEER: A Collaborative Language Modelcited by 86
  11. 2019Parallel Iterative Edit Models for Local Sequence Transductioncited by 81
  12. 2020Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Rewardcited by 66
  13. 2023Extractive Summarization via ChatGPT for Faithful Summary Generationcited by 58
  14. 2021FRUIT: Faithfully Reflecting Updated Information in Textcited by 39
  15. 2022On Improving Summarization Factual Consistency from Natural Language Feedbackcited by 38
  16. 2020Text Editing by Commandcited by 33
  17. 2022Learning to Model Editing Processescited by 30
  18. 2022HEGEL: Hypergraph Transformer for Long Document Summarizationcited by 28
  19. 2022NEWTS: A Corpus for News Topic-Focused Summarizationcited by 27
  20. 2023DiffuSum: Generation Enhanced Extractive Summarization with Diffusioncited by 25
  21. 2022Improving the Faithfulness of Abstractive Summarization via Entity Coverage Controlcited by 21
  22. 2020Fact-based Text Editingcited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 11; 2024: 22; 2025: 17; 2026: 3.

53 papers.

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  1. 2024Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Surveycited by 641
  2. 2024When Search Engine Services meet Large Language Models: Visions and Challengescited by 59
  3. 2023Self-Verification Improves Few-Shot Clinical Information Extractioncited by 52
  4. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  5. 2025Large Language Models Hallucination: A Comprehensive Surveycited by 45
  6. 2023LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMscited by 40
  7. 2024Leveraging Large Language Models for NLG Evaluation: Advances and Challengescited by 37
  8. 2024HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systemscited by 37
  9. 2023On Context Utilization in Summarization with Large Language Modelscited by 30
  10. 2024PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluationcited by 26
  11. 2024GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agencycited by 18
  12. 2023Tree Prompting: Efficient Task Adaptation without Fine-Tuningcited by 17
38 more
  1. 2024Abstractive Text Summarization: State of the Art, Challenges, and Improvementscited by 17
  2. 2025Build the web for agents, not agents for the webcited by 17
  3. 2024Prompt Chaining or Stepwise Prompt? Refinement in Text Summarizationcited by 16
  4. 2023OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarizationcited by 15
  5. 2024Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settingscited by 14
  6. 2024A Comparative Study of Quality Evaluation Methods for Text Summarizationcited by 13
  7. 2023FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Modelscited by 12
  8. 2024Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Languagecited by 12
  9. 2025HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-locationcited by 10
  10. 2025Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosiscited by 10
  11. 2024DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Modelcited by 8
  12. 2024What's Wrong? Refining Meeting Summaries with LLM Feedbackcited by 8
  13. 2023PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generationcited by 6
  14. 2023XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updatescited by 6
  15. 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
  16. 2025Exploring Large Language Models for Semantic Analysis and Categorization of Android Malwarecited by 6
  17. 2025Wi-Chat: Large Language Model Powered Wi-Fi Sensingcited by 6
  18. 2024Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniquescited by 5
  19. 2025Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generationcited by 5
  20. 2024AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preferencecited by 4
  21. 2024DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarizationcited by 4
  22. 2025ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedbackcited by 4
  23. 2025QA-prompting: Improving Summarization with Large Language Models using Question-Answeringcited by 4
  24. 2023Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmarkcited by 3
  25. 2023Risk Aware Benchmarking of Large Language Modelscited by 2
  26. 2024LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reportscited by 2
  27. 2025Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineeringcited by 2
  28. 2026MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understandingcited by 2
  29. 2023Metric Ensembles For Hallucination Detectioncited by 1
  30. 2024Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generationcited by 1
  31. 2024Exploring Iterative Controllable Summarization with Large Language Modelscited by 1
  32. 2025Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Textcited by 1
  33. 2025Conditional Multi-Stage Failure Recovery for Embodied Agentscited by 1
  34. 2025Generating Query-Relevant Document Summaries via Reinforcement Learningcited by 1
  35. 2026LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarizationcited by 1
  36. 2024MARS: Multilingual Aspect-centric Review Summarisationcited by 0
  37. 2025Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understandingcited by 0
  38. 2025Generating Fine Details of Entity Interactionscited by 0

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