🔗 Who cites «Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors»

52 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 «Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors»

1. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
2. 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
3. A Study on Building Efficient Zero-Shot Relation Extraction ModelsLanguage Resources and Evaluation Conference (LREC)Hugo THOMAS, Caio Corro, Guillaume Gravier, et al.2026
4. RelEx-PT: A Portuguese Sentence-Level Relation Extraction DatasetLanguage Resources and Evaluation Conference (LREC)Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira2026

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

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