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ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data.
Language models are few-shot learners
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Crowdsourcing in HCI research
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Crowdsourcing consumer research
Joseph K Goodman and Gabriele Paolacci. 2017 · 2017
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Crowdsourcing: a review and suggestions for future research
Antonio Ghezzi, Donata Gabelloni, Antonella Martini, and Angelo Natalicchio. 2018 · 2018
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Are attention check questions a threat to scale validity?
Franki YH Kung, Navio Kwok, and Douglas J Brown. 2018 · 2018
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GPT-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti. 2020 · 2020
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Automatic detection of machine generated text: A critical survey
Ganesh Jawahar, Muhammad Abdul-Mageed, and Laks VS Lakshmanan. 2020 · 2020
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Exploiting GPT-3 prompts with malicious inputs that order the model to ignore its previous directions
Riley Goodside. 2022 · 2022
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ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian Sabel, Jens Ricke, and Michael Ingrisch. 2022 · 2022
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Ignore Previous Prompt: Attack Techniques For Language Models
Fábio Perez and Ian Ribeiro. 2022 · 2022
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Prompt Engineering Guide
Elvis Saravia. 2022 · 2022
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Legal Prompt Engineering for Multilingual Legal Judgement Prediction
Dietrich Trautmann, Alina Petrova, and Frank Schilder. 2022 · 2022
Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–19
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari. 2023 · 2023
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AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, and Weizhu Chen. 2023 · 2023
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ChatGPT sets record for fastest-growing user base - analyst note
Krystal Hu. 2023 · 2023
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Large Language Models are Zero-Shot Reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2023 · 2023
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, and Hinrich Schütze. 2022 · 2022
Cited alongside, same era.
Better by you, better than me, chatgpt3 as writing assistance in students essays
Zeljana Basic, Ana Banovac, Ivana Kruzic, and Ivan Jerkovic. 2023 · 2023
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Deep reinforcement learning from human preferences
Paul Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, and Dario Amodei. 2023 · 2023
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Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers, Nathalie Japkowicz, and Herna Viktor. 2023 · 2023
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Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz. 2023 · 2023
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ChatGPT: Optimizing Language Models for Dialogue
OpenAI. 2023a
Cited in the paper.
Kamil Malinka, Martin Perešíni, Anton Firc, Ondřej Hujňák, and Filip Januš. 2023 · 2023
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Putting ChatGPT’s Medical Advice to the (Turing) Test
Oded Nov, Nina Singh, and Devin Mann. 2023 · 2023
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Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, and Xia Hu. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
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Can GPT-4 Perform Neural Architecture Search?
Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, and Samuel Albanie. 2023 · 2023
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