mlsanityData to 7 Oct 2026

Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research

arXiv 2303.07304 ↗First posted 10 Mar 2023cs.CLcited by 6

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Abstract (arXiv)

The paper looks at the role of large language models in academic knowledge creation based on a scoping review (2018 to January 2023) of how researchers have previously used the language model GPT to assist in the performance of academic knowledge creation tasks beyond data analysis. These tasks include writing, editing, reviewing, dataset creation and curation, which have been difficult to perform using earlier ML tools. Based on a synthesis of these papers, this study identifies pathways for a future academic research landscape that incorporates wider usage of large language models based on the current modes of adoption in published articles as a Co-Writer, Research Assistant and Respondent.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 67 references that are in the map. First posted on arXiv 10 Mar 2023.

Builds on

13 of 67 references.

References · 13

  1. 2022Large Language Models Are Human-Level Prompt Engineerscited by 1,020
  2. 2019A Multiscale Visualization of Attention in the Transformer Modelcited by 292
  3. 2022ZeroGen: Efficient Zero-shot Learning via Dataset Generationcited by 209
  4. 2022Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revisioncited by 46
  5. 2017When Will AI Exceed Human Performance? Evidence from AI Expertscited by 41
  6. 2022Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspectivecited by 40
  7. 2023Blind Judgement: Agent-Based Supreme Court Modelling With GPTcited by 37
  8. 2022Evaluating Mixed-initiative Conversational Search Systems via User Simulationcited by 24
  9. 2022A Computational Inflection for Scientific Discoverycited by 22
  10. 2022Targeted Phishing Campaigns using Large Scale Language Modelscited by 22
  11. 2023Toward General Design Principles for Generative AI Applicationscited by 20
  12. 2022A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publicationscited by 18
1 more
  1. 2022Using Large Language Models to Generate Engaging Captions for Data Visualizationscited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 1; 2026: 1.

6 papers.

  1. 2023PaperQA: Retrieval-Augmented Generative Agent for Scientific Researchcited by 143
  2. 2023Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directionscited by 55
  3. 2024LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptionscited by 45
  4. 2023Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulationscited by 11
  5. 2025From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systemscited by 8
  6. 2026AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Systemscited by 0