mlsanityData to 7 Oct 2026

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks

arXiv 2304.02623 ↗First posted 5 Apr 2023cs.CL cs.HCcited by 20

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Abstract (arXiv)

Large language models have introduced exciting new opportunities and challenges in designing and developing new AI-assisted writing support tools. Recent work has shown that leveraging this new technology can transform writing in many scenarios such as ideation during creative writing, editing support, and summarization. However, AI-supported expository writing--including real-world tasks like scholars writing literature reviews or doctors writing progress notes--is relatively understudied. In this position paper, we argue that developing AI supports for expository writing has unique and exciting research challenges and can lead to high real-world impacts. We characterize expository writing as evidence-based and knowledge-generating: it contains summaries of external documents as well as new information or knowledge. It can be seen as the product of authors' sensemaking process over a set of source documents, and the interplay between reading, reflection, and writing opens up new opportunities for designing AI support. We sketch three components for AI support design and discuss considerations for future research.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 23 of its 38 references that are in the map. First posted on arXiv 5 Apr 2023.

Builds on

23 of 38 references.

References · 23

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  4. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
  5. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  6. 2021Scaling Language Models: Methods, Analysis & Insights from Training Gophercited by 1,199
  7. 2022Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Modelcited by 557
  8. 2023Benchmarking Large Language Models for News Summarizationcited by 444
  9. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 426
  10. 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 245
  11. 2022Re3: Generating Longer Stories With Recursive Reprompting and Revisioncited by 193
  12. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
11 more
  1. 2021Sparks: Inspiration for Science Writing using Language Modelscited by 80
  2. 2022Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularitiescited by 47
  3. 2020Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbolscited by 36
  4. 2021What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarizationcited by 35
  5. 2022Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Searchcited by 23
  6. 2023CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Contextcited by 22
  7. 2022Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literaturecited by 21
  8. 2023Relatedly: Scaffolding Literature Reviews with Existing Related Work Sectionscited by 21
  9. 2022Mapping the Design Space of Human-AI Interaction in Text Summarizationcited by 15
  10. 2021SciCo: Hierarchical Cross-Document Coreference for Scientific Conceptscited by 14
  11. 2023ComLittee: Literature Discovery with Personal Elected Author Committeescited by 10

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Citing papers per year: 2023: 5; 2024: 6; 2025: 6; 2026: 3.

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  1. 2024Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Modelscited by 150
  2. 2023Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrieverscited by 91
  3. 2024Aligning LLM Agents by Learning Latent Preference from User Editscited by 66
  4. 2024Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversationscited by 43
  5. 2023Beyond the Chat: Executable and Verifiable Text-Editing with LLMscited by 35
  6. 2023ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviewscited by 34
  7. 2025Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wildcited by 24
  8. 2025RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discoverycited by 19
  9. 2025OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinkingcited by 18
  10. 2024LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Surveycited by 12
  11. 2023Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Conceptscited by 11
  12. 2024KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questionscited by 11
8 more
  1. 2025Can LLMs Automate Fact-Checking Article Writing?cited by 7
  2. 2025WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generationcited by 5
  3. 2023Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notescited by 4
  4. 2024No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Sizecited by 3
  5. 2026Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Userscited by 2
  6. 2026Improving Attributed Long-form Question Answering with Intent Awarenesscited by 2
  7. 2025StepWrite: Adaptive Planning for Speech-Driven Text Generationcited by 1
  8. 2026LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscapecited by 0