--- title: "Who cites UniversalNER: Targeted — 96 citing papers" description: "96 papers of the Elamur Research library cite «UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity…" canonical: "https://research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [UniversalNER: Targeted Distillation from Large…](https://md.research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/) / cited by # Who cites «UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition» 96 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition»](https://md.research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/) 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations* 2. **[GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.*2024 · 189 citations* 3. [**GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction arXiv:2310.03668**Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/sainz-2023-gollie-annotation-guidelines-improve-zero/) 4. **[KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/li-2024-knowcoder-coding-structured-knowledge-into/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Li, Yutao Zeng, Yuxin Zuo, et al.*2024 · 68 citations* 5. **[Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.*2024 · 19 citations* 6. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yuming Yang, Wantong Zhao, Caishuang Huang, et al.*2025 · 11 citations* 7. **[Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences](https://md.research.elamur.ai/free/en/papers/ramirez-2026-controlling-what-you-share-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guillem Ramírez, Alexandra Birch, Ivan Titov*2026* 8. **[Decoding Text Spans for Efficient and Accurate Named-Entity Recognition](https://md.research.elamur.ai/free/en/papers/maracani-2026-decoding-text-spans-efficient-accurate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrea Maracani, Savas Ozkan, Junyi Zhu, et al.*2026* 9. **[Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing](https://md.research.elamur.ai/free/en/papers/sun-2026-lingua-graph-unified-representation-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingming Sun, Runze Jiang, Zhu Zhangchenxi, et al.*2026* 10. **[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenda Liu, Song Zhigang, Shuai Nie, et al.*2026* 11. **[Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2026-scaling-performance-low-resource-annotation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qi Zhang, Fangping Lan, Cornelia Caragea, et al.*2026* 85 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/) — UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition