🔗 Who cites «How would Stance Detection Techniques Evolve after the Launch of ChatGPT?»

51 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «How would Stance Detection Techniques Evolve after the Launch of ChatGPT?»

1. 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
2. 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
3. Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate SpeechACM Web Conference (WWW)Fan Huang, Haewoon Kwak, Jisun An2023 · 318 citations
4. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTarXiv:2302.10205Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han2023 · 276 citations
5. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
6. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024 · 174 citations
7. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations
8. Can we trust the evaluation on ChatGPT?Workshop on Trustworthy NLPRachith Aiyappa, Jisun An, Haewoon Kwak, et al.2023 · 103 citations
9. ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre IdentificationarXiv:2303.03953Taja Kuzman, Igor Mozetič, Nikola Ljubešic2023 · 95 citations
10. Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news mediaPLoS ONEMark Mets, Andres Karjus, Indrek Ibrus, et al.2023 · 43 citations
11. Chain-of-Thought Embeddings for Stance Detection on Social MediaFindings of the Association for Computational LinguisticsJoseph Gatto, Omar Sharif, Sarah M. Preum2023 · 28 citations
12. Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance ClassificationarXiv:2309.13734Iain J. Cruickshank, Lynnette Hui Xian Ng2023 · 18 citations
13. MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance DetectionArabic Natural Language Processing Conference (ArabicNLP)Mamoun Alghaslan, Khaled Almutairy2024 · 7 citations
14. State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECTaja Kuzman Pungeršek, Peter Rupnik, Ivan Porupski, et al.2026 · 2 citations

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

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