mlsanityData to 7 Oct 2026

Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews

arXiv 2307.06464 ↗First posted 12 Jul 2023cs.SE cs.CL cs.IRcited by 10

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Abstract (arXiv)

By organizing knowledge within a research field, Systematic Reviews (SR) provide valuable leads to steer research. Evidence suggests that SRs have become first-class artifacts in software engineering. However, the tedious manual effort associated with the screening phase of SRs renders these studies a costly and error-prone endeavor. While screening has traditionally been considered not amenable to automation, the advent of generative AI-driven chatbots, backed with large language models is set to disrupt the field. In this report, we propose an approach to leverage these novel technological developments for automating the screening of SRs. We assess the consistency, classification performance, and generalizability of ChatGPT in screening articles for SRs and compare these figures with those of traditional classifiers used in SR automation. Our results indicate that ChatGPT is a viable option to automate the SR processes, but requires careful considerations from developers when integrating ChatGPT into their SR tools.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 9 of its 62 references that are in the map. First posted on arXiv 12 Jul 2023.

Builds on

9 of 62 references.

References · 9

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  3. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
  4. 2014Distributed Representations of Sentences and Documentscited by 677
  5. 2019Generalizing from a Few Examples: A Survey on Few-Shot Learningcited by 462
  6. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  7. 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?cited by 54
  8. 2020Open Source Software for Efficient and Transparent Reviewscited by 34
  9. 2022Paving the Way for Mature Secondary Research: The Seven Types of Literature Reviewcited by 6

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 4; 2025: 3.

10 papers.

  1. 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMscited by 224
  2. 2023Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languagescited by 36
  3. 2024The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic reviewcited by 20
  4. 2024Accelerating Clinical Evidence Synthesis with Large Language Modelscited by 15
  5. 2024Zero-shot Generative Large Language Models for Systematic Review Screening Automationcited by 14
  6. 2025A foundation model for human-AI collaboration in medical literature miningcited by 11
  7. 2023Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automationcited by 6
  8. 2025AI Simulation by Digital Twins: Systematic Survey, Reference Framework, and Mapping to a Standardized Architecturecited by 6
  9. 2023Automated title and abstract screening for scoping reviews using the GPT-4 Large Language Modelcited by 5
  10. 2025LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviewscited by 5