Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy

10 February 2025

Papers citing "Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy"

4 / 4 papers shown

Title
Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications Fadel M. Megahed Ying-Ju Chen L. Allision Jones-Farmer Younghwa Lee Jiawei Brooke Wang Inez M. Zwetsloot 47 0 0 20 May 2025
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning Petter Törnberg AI4MH 28 144 0 13 Apr 2023
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 235 10,099 0 17 Jun 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 500 41,106 0 28 May 2020