🔗 Who cites «Exploring the Feasibility of ChatGPT for Event Extraction»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Exploring the Feasibility of ChatGPT for Event Extraction»

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 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 · 938 citations
3. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
4. 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 · 421 citations
5. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Findings of the Association for Computational LinguisticsYubo Ma, Yixin Cao, Yong Hong, et al.2023 · 211 citations
6. Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.2024 · 19 citations
7. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsLanguage Resources and Evaluation Conference (LREC)Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026

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

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