🔗 Who cites «CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors»

1. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 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. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionarXiv:2310.03668Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations

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

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