Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages

25 August 2023

Papers citing "Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages"

7 / 7 papers shown

Title
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs Tongshuang Wu Haiyi Zhu Maya Albayrak Alexis Axon Amanda Bertsch ... Ying-Jui Tseng Patricia Vaidos Zhijin Wu Wei Wu Chenyang Yang 109 34 0 10 Jan 2025
ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions Jeongeon Park Bryan Min Xiaojuan Ma Juho Kim Xiaojuan Ma Juho Kim 87 16 0 02 Oct 2023
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness Ján Cegin Jakub Simko Peter Brusilovsky 60 44 0 22 May 2023
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning Petter Törnberg AI4MH 41 144 0 13 Apr 2023
Can language models handle recursively nested grammatical structures? A case study on comparing models and humans Andrew Kyle Lampinen ReLM ELM 69 36 0 27 Oct 2022
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts Tongshuang Wu Michael Terry Carrie J. Cai LLMAG AI4CE LRM 67 452 0 04 Oct 2021
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation Samuel Rhys Cox Yunlong Wang Ashraf Abdul Christian von der Weth Brian Y. Lim 40 35 0 15 Jan 2021