mlsanityData to 7 Oct 2026

Understanding Iterative Revision from Human-Written Text

arXiv 2203.03802 ↗First posted 8 Mar 2022cs.CL cs.HCcited by 56

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Abstract (arXiv)

Writing is, by nature, a strategic, adaptive, and more importantly, an iterative process. A crucial part of writing is editing and revising the text. Previous works on text revision have focused on defining edit intention taxonomies within a single domain or developing computational models with a single level of edit granularity, such as sentence-level edits, which differ from human's revision cycles. This work describes IteraTeR: the first large-scale, multi-domain, edit-intention annotated corpus of iteratively revised text. In particular, IteraTeR is collected based on a new framework to comprehensively model the iterative text revisions that generalize to various domains of formal writing, edit intentions, revision depths, and granularities. When we incorporate our annotated edit intentions, both generative and edit-based text revision models significantly improve automatic evaluations. Through our work, we better understand the text revision process, making vital connections between edit intentions and writing quality, enabling the creation of diverse corpora to support computational modeling of iterative text revisions.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Builds on 15 of its 53 references that are in the map. First posted on arXiv 8 Mar 2022.

Builds on

15 of 53 references.

References · 15

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  4. 2020BLEURT: Learning Robust Metrics for Text Generationcited by 1,196
  5. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,100
  6. 2019Encode, Tag, Realize: High-Precision Text Editingcited by 99
  7. 2019EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editingcited by 63
  8. 2020Felix: Flexible Text Editing Through Tagging and Insertioncited by 58
  9. 2018Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!cited by 43
  10. 2018Learning To Split and Rephrase From Wikipedia Edit Historycited by 38
  11. 2020Text Editing by Commandcited by 33
  12. 2018WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discoursecited by 26
3 more
  1. 2018Dynamic Multi-Level Multi-Task Learning for Sentence Simplificationcited by 25
  2. 2019Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistancecited by 16
  3. 2021NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)cited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 9; 2023: 17; 2024: 14; 2025: 7; 2026: 9.

56 papers.

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  1. 2023Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Modelscited by 695
  2. 2022PEER: A Collaborative Language Modelcited by 86
  3. 2024A Design Space for Intelligent and Interactive Writing Assistantscited by 76
  4. 2023CoEdIT: Text Editing by Task-Specific Instruction Tuningcited by 67
  5. 2024Aligning LLM Agents by Learning Latent Preference from User Editscited by 66
  6. 2022LENS: A Learnable Evaluation Metric for Text Simplificationcited by 54
  7. 2024Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Editscited by 49
  8. 2022Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revisioncited by 46
  9. 2023Beyond the Chat: Executable and Verifiable Text-Editing with LLMscited by 35
  10. 2023ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviewscited by 34
  11. 2023Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistancecited by 33
  12. 2022Learning to Model Editing Processescited by 30
38 more
  1. 2022EditEval: An Instruction-Based Benchmark for Text Improvementscited by 30
  2. 2023Second Thoughts are Best: Learning to Re-Align With Human Values from Text Editscited by 27
  3. 2022arXivEdits: Understanding the Human Revision Process in Scientific Writingcited by 26
  4. 2024Beemo: Benchmark of Expert-edited Machine-generated Outputscited by 26
  5. 2024What Can Natural Language Processing Do for Peer Review?cited by 24
  6. 2022Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyondcited by 20
  7. 2022Improving Iterative Text Revision by Learning Where to Edit from Other Revision Taskscited by 20
  8. 2023ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Modelscited by 17
  9. 2023Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSAcited by 15
  10. 2024CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisionscited by 14
  11. 2024KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questionscited by 11
  12. 2024Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revisioncited by 11
  13. 2024Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisionscited by 11
  14. 2025Help Me Write a Story: Evaluating LLMs' Ability to Generate Writing Feedbackcited by 10
  15. 2025eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedbackcited by 8
  16. 2025ScholaWrite: A Dataset of End-to-End Scholarly Writing Processcited by 8
  17. 2025From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systemscited by 8
  18. 2023Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writingcited by 6
  19. 2023XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updatescited by 6
  20. 2023DEFT: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selectioncited by 6
  21. 2023Automatic and Human-AI Interactive Text Generationcited by 4
  22. 2024Spivavtor: An Instruction Tuned Ukrainian Text Editing Modelcited by 4
  23. 2024Gazelle: An Instruction Dataset for Arabic Writing Assistancecited by 4
  24. 2024Patent-CR: A Dataset for Patent Claim Revisioncited by 4
  25. 2022Claim Optimization in Computational Argumentationcited by 3
  26. 2023Decoding the End-to-end Writing Trajectory in Scholarly Manuscriptscited by 3
  27. 2023Edit As You Wish: Video Caption Editing with Multi-grained User Controlcited by 3
  28. 2025Efficient Layer-wise LLM Fine-tuning for Revision Intention Predictioncited by 3
  29. 2023Interactive Text Generationcited by 2
  30. 2024Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistantscited by 2
  31. 2025GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectorscited by 2
  32. 2024Causal Inference for Human-Language Model Collaborationcited by 1
  33. 2025RevTogether: Supporting Science Story Revision with Multiple AI Agentscited by 1
  34. 2026IntentGrasp: A Comprehensive Benchmark for Intent Understandingcited by 1
  35. 2026Effects of Varying LLM Access on Essay Writing Behaviorcited by 1
  36. 2023WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instructioncited by 0
  37. 2023G-SPEED: General SParse Efficient Editing MoDelcited by 0
  38. 2026Intention-Adaptive LLM Fine-Tuning for Text Revision Generationcited by 0

50 most cited of 56 All 56 (JSON)