mlsanityData to 14 Oct 2026

Related Work and Citation Text Generation: A Survey

arXiv 2404.11588 ↗First posted 17 Apr 2024cs.CLcited by 17

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Abstract (arXiv)

To convince readers of the novelty of their research paper, authors must perform a literature review and compose a coherent story that connects and relates prior works to the current work. This challenging nature of literature review writing makes automatic related work generation (RWG) academically and computationally interesting, and also makes it an excellent test bed for examining the capability of SOTA natural language processing (NLP) models. Since the initial proposal of the RWG task, its popularity has waxed and waned, following the capabilities of mainstream NLP approaches. In this work, we survey the zoo of RWG historical works, summarizing the key approaches and task definitions and discussing the ongoing challenges of RWG.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 22 of its 61 references that are in the map. First posted on arXiv 17 Apr 2024.

Builds on

22 of 61 references.

References · 22

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  3. 2017Graph Attention Networkscited by 8,923
  4. 2020Longformer: The Long-Document Transformercited by 3,413
  5. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
  6. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,292
  7. 2019Text Summarization with Pretrained Encoderscited by 556
  8. 2018Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategiescited by 294
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  10. 2017Faithful to the Original: Fact Aware Neural Abstractive Summarizationcited by 141
  11. 2019Structural Scaffolds for Citation Intent Classification in Scientific Publicationscited by 130
  12. 2019Assessing The Factual Accuracy of Generated Textcited by 103
10 more
  1. 2019ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networkscited by 73
  2. 2020Explaining Relationships Between Scientific Documentscited by 35
  3. 2021Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documentscited by 33
  4. 2021MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label settingcited by 30
  5. 2022Target-aware Abstractive Related Work Generation with Contrastive Learningcited by 20
  6. 2022CORWA: A Citation-Oriented Related Work Annotation Datasetcited by 17
  7. 2024Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Compositioncited by 12
  8. 2019Neural Related Work Summarization with a Joint Context-driven Attention Mechanismcited by 9
  9. 2023Causal Intervention for Abstractive Related Work Generationcited by 5
  10. 2024Contextualizing Generated Citation Textscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 10; 2026: 5.

17 papers.

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  1. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 42
  2. 2024ALiiCE: Evaluating Positional Fine-grained Citation Generationcited by 15
  3. 2025HypER: Literature-grounded Hypothesis Generation and Distillation with Provenancecited by 10
  4. 2025From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systemscited by 8
  5. 2024OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sourcescited by 6
  6. 2025Expert Preference-based Evaluation of Automated Related Work Generationcited by 6
  7. 2025Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generationcited by 4
  8. 2025Towards AI-assisted Academic Writingcited by 3
  9. 2025Modelling and Classifying the Components of a Literature Reviewcited by 2
  10. 2025AutoPR: Let's Automate Your Academic Promotion!cited by 2
  11. 2026Reward Modeling for Scientific Writing Evaluationcited by 2
  12. 2025MCiteBench: A Multimodal Benchmark for Generating Text with Citationscited by 1
5 more
  1. 2025Accepted with Minor Revisions: Value of AI-Assisted Scientific Writingcited by 1
  2. 2026The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scalecited by 0
  3. 2026RWGBench: Evaluating Scholarly Positioning in Related Work Generationcited by 0
  4. 2026Assembling the CREW: A Collaborative Multi-agent Reinforcement Learning Framework for Automated Related Work Generationcited by 0
  5. 2026Does AI-Generated Scientific Text Follow Human Argumentation Patterns? A CARS-Based Comparison of Research Article Introductionscited by 0