🧑‍🔬 Who cites You Chen

128 citations of their works from 127 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← You Chen

1. Large language models are few-shot clinical information extractorsConference on Empirical Methods in Natural Language Processing (EMNLP)Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 454 citations
2. Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
3. Large Language Models are Few-Shot Clinical Information ExtractorsConference on Empirical Methods in Natural Language Processing (EMNLP)Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 384 citations
4. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
5. 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 · 212 citations
6. Sources of Hallucination by Large Language Models on Inference TasksFindings of the Association for Computational LinguisticsNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 212 citations
7. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
8. Can GPT-3 Perform Statutory Reasoning?arXiv:2302.06100Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 154 citations
9. SciMON: Scientific Inspiration Machines Optimized for NoveltyAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyun Wang, Doug Downey, Heng Ji, et al.2023 · 131 citations
10. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
11. CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Li, Tianxiang Sun, Qiong Tang, et al.2023 · 109 citations
12. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
13. Self-Verification Improves Few-Shot Clinical Information ExtractionarXiv:2306.00024 · IMLH 2023Zelalem Gero, Chandan Singh, Hao Cheng, et al.2023 · 51 citations
14. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
15. Overview of the MEDIQA-SYNUR 2026 Shared Task on Observation Extraction from Nurse DictationsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECGeorge Michalopoulos, Jean-Philippe Corbeil, Cari Bader, et al.2026 · 9 citations
16. LLM Agents in Law: Taxonomy, Applications, and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Shuang Liu, Ruijia Zhang, Ruoyun Ma, et al.2026 · 4 citations
17. Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning CapabilitiesConference of the European Chapter of the Association for Computational Linguistics (EACL)Hongseok Oh, Wonseok Hwang, Kyoung-Woon On2026 · 3 citations
18. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.2026 · 3 citations
19. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General IntelligenceFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xin Feng, et al.2026 · 2 citations
20. BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German LawarXiv:2605.28183Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.2026
21. DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Zhichao Shi, Cehao Yang, Hao Zhou, et al.2026
22. Prompt Optimization for Relation Extraction using Reinforcement LearningFindings of the Association for Computational LinguisticsYing Liu, Dong Shuai, Cui Zibo, et al.2026
23. 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
24. Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and PracticeFindings of the Association for Computational LinguisticsQiyao Wang, Guhong Chen, Hongbo Wang, et al.2026
25. Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?Findings of the Association for Computational LinguisticsChristophe Ye, Cassie S. Mitchell2026

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