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Manually annotating data for computational social science tasks can be costly, time-consuming, and emotionally draining.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013 · 2013
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Zero-shot learning-the good, the bad and the ugly
Yongqin Xian, Bernt Schiele, and Zeynep Akata. 2017 · 2017
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Semeval-2019 task 7: Rumoureval 2019: Determining rumour veracity and support for rumours
Genevieve Gorrell, Elena Kochkina, Maria Liakata, Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, and Leon Derczynski. 2019 · 2019
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Detecting frames in news headlines and its application to analyzing news framing trends surrounding us gun violence
Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, and Derry Tanti Wijaya. 2019 · 2019
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Generalizing from a few examples: A survey on few-shot learning
Yaqing Wang, Quanming Yao, James T Kwok, and Lionel M Ni. 2020 · 2020
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A survey of nlp-related crowdsourcing hits: what works and what does not
Jessica Huynh, Jeffrey Bigham, and Maxine Eskenazi. 2021 · 2021
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Computational identification of media frames: Strengths, weaknesses, and opportunities
Tom Nicholls and Pepper D Culpepper. 2021 · 2021
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Want to reduce labeling cost? gpt-3 can help
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2021 · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
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Differentiable prompt makes pre-trained language models better few-shot learners
Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, and Huajun Chen. 2021 · 2021
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Promptsource: An integrated development environment and repository for natural language prompts
Stephen Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Févry, et al. 2022 · 2022
Earlier work this paper cites.
Crowdworksheets: Accounting for individual and collective identities underlying crowdsourced dataset annotation
Mark Díaz, Ian Kivlichan, Rachel Rosen, Dylan Baker, Razvan Amironesei, Vinodkumar Prabhakaran, and Emily Denton. 2022 · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
How would stance detection techniques evolve after the launch of chatgpt?
Bowen Zhang, Daijun Ding, and Liwen Jing. 2022 · 2022
Cited alongside, same era.
Elements of a prompt
DAIR. 2023 · 2023
Cited alongside, same era.
Is GPT-3 a good data annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing. 2023 · 2023
Cited alongside, same era.
Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara. 2023 · 2023
Cited alongside, same era.
Chatgpt outperforms crowd workers for text-annotation tasks
Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli. 2023 · 2023
Challenging BIG-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, and Jason Wei. 2023 · 2023
Later among the works it cites.
Is chatgpt a good sentiment analyzer? a preliminary study
Zengzhi Wang, Qiming Xie, Yi Feng, Zixiang Ding, Zinong Yang, and Rui Xia. 2023 · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt. 2023 · 2023
Later among the works it cites.
Hot speech: Comments from political news posts and videos that were annotated for hateful, offensive, and toxic content
Siqi Wu, Angela Schöpke-Gonzalez, Sagar Kumar, Libby Hemphill, and Paul Resnick. 2023 · 2023
Later among the works it cites.
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Cited alongside, same era.
Prompt engineering with chatgpt: A guide for academic writers
Louie Giray. 2023 · 2023
Cited alongside, same era.
Is chatgpt better than human annotators? potential and limitations of chatgpt in explaining implicit hate speech
Fan Huang, Haewoon Kwak, and Jisun An. 2023 · 2023
Cited alongside, same era.
Chatgpt: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydło, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, et al. 2023 · 2023
Cited alongside, same era.
Trustworthy llms: a survey and guideline for evaluating large language models’ alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, and Hang Li. 2023 · 2023
Cited alongside, same era.
Investigating chatgpt and cybersecurity: A perspective on topic modeling and sentiment analysis
Ogobuchi Daniel Okey, Ekikere Umoren Udo, Renata Lopes Rosa, Demostenes Zegarra Rodríguez, and João Henrique Kleinschmidt. 2023 · 2023
Cited alongside, same era.
Is ChatGPT a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
Cited alongside, same era.
Yilun Zhao, Yitao Long, Hongjun Liu, Linyong Nan, Lyuhao Chen, Ryo Kamoi, Yixin Liu, Xiangru Tang, Rui Zhang, and Arman Cohan. 2023 · 2023
Later among the works it cites.
The art of chatgpt prompting: A guide to crafting clear and effective prompts
Fatih Kadir Akin. 2023 · 2024
Closest in time.
Cognitive bias in high-stakes decision-making with llms
Jessica Echterhoff, Yao Liu, Abeer Alessa, Julian McAuley, and Zexue He. 2024 · 2024
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“hot” chatgpt: The promise of chatgpt in detecting and discriminating hateful, offensive, and toxic comments on social media
Lingyao Li, Lizhou Fan, Shubham Atreja, and Libby Hemphill. 2024 · 2024
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Can large language models detect rumors on social media?
Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, and Liang Wang. 2024 · 2024
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Human vs chatgpt: Effect of data annotation in interpretable crisis-related microblog classification
Thi Huyen Nguyen and Koustav Rudra. 2024 · 2024
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Benchmarking large language models for news summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B Hashimoto. 2024 · 2024
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Can large language models transform computational social science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2024 · 2024
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