Much Ado about Prompting: LLM classification of text messages from experiments

PLOS One · Published 2026-08-04 · DOI 10.1371/journal.pone.0354757

Free full text

Authors (2)

Can Çelebi, Stefan P. Penczynski

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Çelebi, C., Penczynski, S. (2026). Much Ado about Prompting: LLM classification of text messages from experiments. PLOS One. https://doi.org/10.1371/journal.pone.0354757

Related articles

• Discourse, sentiment, and resonance of workplace burnout on Chinese social media: A computational analysis · PLOS One · 2026 · Same journal
• Untargeted metabolomics as a new perspective for assessing taxonomic boundaries in alpine Rubus genus · PLOS One · 2026 · Same journal
• TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation · PLOS One · 2026 · Same journal
• Leveraging expression quantitative trait loci information in single-cell resolution to identify cell-specific genes for Basal cell carcinoma · PLOS One · 2026 · Same journal
• Federated parameter-free DBSCAN clustering and its application in image recognition · PLOS One · 2026 · Same journal
• Factors influencing community pharmacists’ provision of health promotion and disease prevention services in Jordan: Qualitative thematic analysis and deductive mapping to the COM-B model · PLOS One · 2026 · Same journal
• Trends in foodborne outbreaks and outbreak-associated illnesses using a Bayesian trend model – United States, 1998–2018 · PLOS One · 2026 · Same journal
• Performance of PREMM5, clinical criteria, and immunohistochemistry for MMR proteins in genetic risk assessment of Mexican patients with colorectal cancer · PLOS One · 2026 · Same journal
• First eDNA-based monitoring of marine vertebrates in the urban marine ecosystem of Abu Dhabi: Mangrove and seagrass beds as biodiversity reservoirs? · PLOS One · 2026 · Same journal
• Sex, age, and seasonal distribution characteristics of bacterial and fungal infections · PLOS One · 2026 · Same journal