Who cites «UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition»
- Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
- GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.2024 · 189 citations
- GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionarXiv:2310.03668Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
- KnowCoder: Coding Structured Knowledge into LLMs for Universal Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Li, Yutao Zeng, Yuxin Zuo, et al.2024 · 68 citations
- 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
- Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
- Controlling What You Share: Assessing Language Model Adherence to Privacy PreferencesFindings of the Association for Computational LinguisticsGuillem Ramírez, Alexandra Birch, Ivan Titov2026
- Decoding Text Spans for Efficient and Accurate Named-Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Maracani, Savas Ozkan, Junyi Zhu, et al.2026
- Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingming Sun, Runze Jiang, Zhu Zhangchenxi, et al.2026
- ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information ExtractionFindings of the Association for Computational LinguisticsWenda Liu, Song Zhigang, Shuai Nie, et al.2026
- Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity RecognitionFindings of the Association for Computational LinguisticsQi Zhang, Fangping Lan, Cornelia Caragea, et al.2026
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