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This paper explores using GPT-3.5 and GPT-4 to automate the data annotation process with automatic prompting techniques.
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Liu P, Yuan W, Fu J, Jiang Z, Hayashi H, Neubig G · 2021
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Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
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DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
Schlechtweg D, Tahmasebi N, Hengchen S, Dubossarsky H, McGillivray B · 2021
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TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
Wang C, Wang J, Qiu M, Huang J, Gao M · 2021
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Is GPT-3 a Good Data Annotator?
Ding B, Qin C, Liu L, Bing L, Joty SR, Li BA · 2022
Cited alongside, same era.
Learning to Transfer Prompts for Text Generation
Li J, Tang T, Nie J, rong Wen J, Zhao WX · 2022
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Available from: https://doi.org/10.5281/zenodo.6419805
Gius E, Meister JC, Meister M, Petris M, Bruck C, Jacke J, et al.. CATMA. Zenodo; 2022 · 2022
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POTATO: The Portable Text Annotation Tool
Pei J, Ananthasubramaniam A, Wang X, Zhou N, Dedeloudis A, Sargent J, et al · 2022
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OpenAI · 2023
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Sclar M, Choi Y, Tsvetkov Y, Suhr A. Quantifying Language Models’ Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting; 2023
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Li C, Wang J, Zhang Y, Zhu K, Hou W, Lian J, et al.. Large Language Models Understand and Can be Enhanced by Emotional Stimuli; 2023
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Prompting Frameworks for Large Language Models: A Survey
Liu X, Wang J, Sun J, Yuan X, Dong G, Di P, et al · 2023
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Karjus A · 2023
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How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
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Gemini Team et al · 2023
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Llama 2: Open Foundation and Fine-Tuned Chat Models
Touvron H, Martin L, Stone KR, Albert P, Almahairi A, Babaei Y, et al · 2023
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ChatGPT outperforms crowd workers for text-annotation tasks
Gilardi F, Alizadeh M, Kubli M · 2023
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A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
White J, Fu Q, Hays S, Sandborn M, Olea C, Gilbert H, et al · 2023
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SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains
Goswami K, Lange L, Araki J, Adel H · 2023
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Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
Huang F, Kwak H, An J · 2023
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Guo B, Zhang X, Wang Z, Jiang M, Nie J, Ding Y, et al · 2023
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Peng K, Ding L, Zhong Q, Shen L, Liu X, Zhang M, et al.. Towards Making the Most of ChatGPT for Machine Translation; 2023
2023
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Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
Sun AY, Zemour E, Saxena A, Vaidyanathan U, Lin E, Lau C, et al · 2023
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Kim J, Lee JH, Kim S, Park J, Yoo KM, Kwon SJ, et al.. Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization; 2023
2023
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Large Language Models for Data Annotation: A Survey
Tan Z, Beigi A, Wang S, Guo R, Bhattacharjee A, Jiang B, et al · 2024
Closest in time.
Available from: https://arxiv.org/abs/2401.14040
Periti F, Dubossarsky H, Tahmasebi N. (Chat)GPT v BERT: Dawn of Justice for Semantic Change Detection; 2024 · 2024
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Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change
Schlechtweg D, Schulte im Walde S, Eckmann S · 2027
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