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

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

10 February 2025
Kamyar Kazari
Yong Chen
Zahra Shakeri
    AI4MH
ArXivPDFHTML

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

3 / 3 papers shown
Title
Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
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
LoRA: Low-Rank Adaptation of Large Language Models
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
223
9,946
0
17 Jun 2021
Language Models are Few-Shot Learners
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
469
41,106
0
28 May 2020
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