🔗 Who cites «ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification»

1. ChatGPT Outperforms Crowd-Workers for Text-Annotation TasksProceedings of the National Academy of SciencesFabrizio Gilardi, Meysam Alizadeh, Maël Kubli2023 · 1,536 citations
2. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
3. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningFindings of the Association for Computational LinguisticsViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 422 citations
4. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP)Minzhi Li, Taiwei Shi, Caleb Ziems, et al.2023 · 101 citations
5. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom InstructionarXiv:2306.03090Rose E. Wang, Dorottya Demszky2023 · 36 citations
6. Evaluating large language models for the tasks of PoS tagging within the Universal Dependency frameworkMateus Machado, Evandro Ruiz2024 · 3 citations
7. Using LLMs for Automatic Discipline Annotation in a Diachronic Corpus of English Scientific PapersLanguage Resources and Evaluation Conference (LREC)Sergei Bagdasarov, Diego Alves, Stefan Fischer, et al.2026

28 more papers of our library cite it; they have no page here yet.

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