mlsanityData to 7 Oct 2026

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

arXiv 2402.08565 ↗First posted 13 Feb 2024cs.AI cs.HC cs.IRcited by 30

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Abstract (arXiv)

This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates previous research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of literature reviews. Our study focuses on how AI techniques are applied in the semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage large language models for searching the literature and assisting academic writing. Finally, the paper discusses current trends in the field, outlines key research challenges, and suggests directions for future research.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Builds on 39 of its 237 references that are in the map. First posted on arXiv 13 Feb 2024.

Builds on

39 of 237 references.

References · 39

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 10; 2025: 13; 2026: 7.

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  1. 2024Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuningcited by 31
  2. 2025Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Modelscited by 14
  3. 2024Toward Automated Simulation Research Workflow through LLM Prompt Engineering Designcited by 10
  4. 2024Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Fieldcited by 10
  5. 2024A Survey on Knowledge Organization Systems of Research Fields: Resources and Challengescited by 9
  6. 2024Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviewscited by 6
  7. 2024A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciencescited by 5
  8. 2025Optimizing Large Language Models for ESG Activity Detection in Financial Textscited by 5
  9. 2024PROMPTHEUS: A Human-Centered Pipeline to Streamline SLRs with LLMscited by 4
  10. 2024Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approachcited by 2
  11. 2025Modelling and Classifying the Components of a Literature Reviewcited by 2
  12. 2025Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Studycited by 2
18 more
  1. 2026L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)cited by 2
  2. 2024The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skillscited by 1
  3. 2025Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviewscited by 1
  4. 2025From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviewscited by 1
  5. 2026AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Researchcited by 1
  6. 2024CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Securitycited by 0
  7. 2025A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goalscited by 0
  8. 2025HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap Analysiscited by 0
  9. 2025Hallucination vs interpretation: rethinking accuracy and precision in AI-assisted data extraction for knowledge synthesiscited by 0
  10. 2025Charting the Future of Scholarly Knowledge with AI: A Community Perspectivecited by 0
  11. 2025Conversational No-code, Multi-agentic Disease Module Identification and Drug Repurposing Prediction with ChatDRexcited by 0
  12. 2025Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approachcited by 0
  13. 2025TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cyclescited by 0
  14. 2026How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoderscited by 0
  15. 2026LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerationscited by 0
  16. 2026Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teamscited by 0
  17. 2026Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)cited by 0
  18. 2026Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Fieldcited by 0