Work

Evaluating Large Language Models for Literature Screening: A Systematic Review of Sensitivity and Workload Reduction

Year: 2025

Type: conference-paper

Abstract: This Zenodo repository provides the supplementary material for the paper titled "Evaluating Large Language Models for Literature Screening: A Systematic Review of Sensitivity and Workload Reduction," [1]. E. Sandner, L. Fontana, K. Kothari, A. Henriques, I. Jakovljevic, A. Simniceanu, A. Wagner and C. Gütl, “Evaluating Large Language Models for Literature Screening: A Systematic Review of Sensitivity and Workload Reduction,” in *Proceedings of the 14th International Conference on Data Science, Technology and Applications (DATA 2025)*, pp. 508–517, 2025, doi: 10.5220/0013562900003967.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15255994

Authors: Sandner, Elias, Fontana, Luca, Kothari, Kavita, Henriques, Andre, Jakovljevic, Igor, Simniceanu, Alice, Wagner, Andreas, Gütl, Christian

Institutions: Graz University of Technology, European Organization for Nuclear Research, World Health Organization

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6949622748

FWCI:

Cites:

Cited by:

Related to: