PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models

Torres, J; Mulligan, C; Jorge, J; Moreira, C

PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models

Torres, J Mulligan, C Jorge, J Moreira, C

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Information Switzerland, 2025, 16, (5)
Issue Date:: 2025-05-01

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Field	Value	Language
dc.contributor.author	Torres, J
dc.contributor.author	Mulligan, C
dc.contributor.author	Jorge, J
dc.contributor.author	Moreira, C
dc.date.accessioned	2026-01-19T02:39:02Z
dc.date.available	2026-01-19T02:39:02Z
dc.date.issued	2025-05-01
dc.identifier.citation	Information Switzerland, 2025, 16, (5)
dc.identifier.issn	2078-2489
dc.identifier.issn	2078-2489
dc.identifier.uri	http://hdl.handle.net/10453/191959
dc.description.abstract	The growing volume of academic publications poses significant challenges for researchers conducting timely and accurate systematic literature reviews (SLR), particularly in fast-evolving fields like artificial intelligence. This growth of academic literature also makes it increasingly difficult for lay people to access scientific knowledge effectively, meaning academic literature is often misrepresented in the popular press and, more broadly, in society. Traditional SLRs are labor-intensive and error-prone, and they struggle to keep up with the rapid pace of new research. To address these issues, we developed PROMPTHEUS: an AI-driven pipeline solution that automates the systematic literature review (LR) process using large language models (LLMs). We aimed to enhance efficiency by reducing the manual workload while maintaining the precision and coherence required for comprehensive literature synthesis. PROMPTHEUS automates key SLR stages, including systematic searches, data extraction, and topic modeling using BERTopic and summarization with transformer models. Evaluations across five research domains demonstrated that PROMPTHEUS reduces review time, achieves high precision, and provides coherent topic organization, offering a scalable and effective solution for conducting literature reviews in an increasingly crowded research landscape.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Information Switzerland
dc.relation.isbasedon	10.3390/info16050420
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	46 Information and computing sciences
dc.title	PROMPTHEUS: A Human-Centered Pipeline to Streamline Systematic Literature Reviews with Large Language Models
dc.type	Journal Article
utslib.citation.volume	16
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Data Science Institute (DSI)
pubs.organisational-group	University of Technology Sydney/UTS Groups/The Trustworthy Digital Society
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2026-01-19T02:39:01Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	16
utslib.citation.issue	5

Abstract:

The growing volume of academic publications poses significant challenges for researchers conducting timely and accurate systematic literature reviews (SLR), particularly in fast-evolving fields like artificial intelligence. This growth of academic literature also makes it increasingly difficult for lay people to access scientific knowledge effectively, meaning academic literature is often misrepresented in the popular press and, more broadly, in society. Traditional SLRs are labor-intensive and error-prone, and they struggle to keep up with the rapid pace of new research. To address these issues, we developed PROMPTHEUS: an AI-driven pipeline solution that automates the systematic literature review (LR) process using large language models (LLMs). We aimed to enhance efficiency by reducing the manual workload while maintaining the precision and coherence required for comprehensive literature synthesis. PROMPTHEUS automates key SLR stages, including systematic searches, data extraction, and topic modeling using BERTopic and summarization with transformer models. Evaluations across five research domains demonstrated that PROMPTHEUS reduces review time, achieves high precision, and provides coherent topic organization, offering a scalable and effective solution for conducting literature reviews in an increasingly crowded research landscape.

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http://hdl.handle.net/10453/191959