🔗 Who cites «RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction»

50 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction»

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasConference on Neural Information Processing Systems (NeurIPS)Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
1. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionarXiv:2304.08085Xiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
   Revisiting DocRED - Addressing the False Negative Problem in Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyu Tan, Lu Xu, Lidong Bing, et al.2022 · 151 citations
   A Study on Building Efficient Zero-Shot Relation Extraction ModelsLanguage Resources and Evaluation Conference (LREC)Hugo THOMAS, Caio Corro, Guillaume Gravier, et al.2026

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

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