Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models

15 July 2024

Papers citing "Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models"

6 / 6 papers shown

Title
Says Who? Effective Zero-Shot Annotation of Focalization Rebecca M. M. Hicke Yuri Bizzoni Pascale Feldkamp R. Kristensen-Mclachlan 39 0 0 17 Sep 2024
The Unreasonable Effectiveness of Eccentric Automatic Prompts Rick Battle Teja Gollapudi LRM ReLM 25 10 0 09 Feb 2024
Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models Maximilian Weber Merle Reichardt 63 9 0 30 Dec 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond Francesco Barbieri Luis Espinosa Anke Jose Camacho-Collados 70 211 0 25 Apr 2021