🧑‍🔬 Who cites Monica Agrawal

205 citations of their works from 202 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · ← Monica Agrawal

1. Large Language Models Encode Clinical KnowledgeNatureKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,492 citations
2. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 754 citations
3. Aspect-Level Sentiment Analysis Via Convolution over Dependency TreeConference on Empirical Methods in Natural Language Processing (EMNLP)Kai Sun, Richong Zhang, Samuel Mensah, et al.2019 · 499 citations
4. 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
5. Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
6. 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
7. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
8. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingFindings of the Association for Computational LinguisticsZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 300 citations
9. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTarXiv:2302.10205Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han2023 · 276 citations
10. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
11. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsConference on Computational Natural Language Learning (CoNLL)Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 221 citations
12. 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
13. 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
14. 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
15. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesProceedings of the VLDB EndowmentSimran Arora, Brandon Yang, Sabri Eyuboglu, et al.2023 · 94 citations
16. DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving AgentsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECVarun Nair, Elliot Schumacher, Geoffrey Tso, et al.2023 · 55 citations
17. Self-Verification Improves Few-Shot Clinical Information ExtractionarXiv:2306.00024 · IMLH 2023Zelalem Gero, Chandan Singh, Hao Cheng, et al.2023 · 51 citations
18. PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model CorruptionsarXiv:2305.14908Anthony Chen, Panupong Pasupat, Sameer Singh, et al.2023 · 32 citations
19. Are Large Language Models Robust Coreference Resolvers?arXiv:2305.14489Nghia T. Le, Alan Ritter2023 · 26 citations
20. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
21. Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsFindings of the Association for Computational LinguisticsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
22. Major Entity Identification: A Generalizable Alternative to Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, et al.2024 · 13 citations
23. Multilingual coreference resolution as text generationWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Natalia Skachkova2024 · 6 citations
24. Attention to Non-AdoptersFindings of the Association for Computational LinguisticsKaitlyn Zhou, Kristina Gligorić, Myra Cheng, et al.2026 · 1 citation
25. Gladiator at MEDIQA-SYNUR 2026: Contextual Clinical Extraction: Integrating Foundation Models with Domain-Specific Validation RulesWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECSiva Satyanarayana Raju Pusapati, Ankit Singh2026 · 1 citation
26. HARM: Learning Hate-Aware Reward Model for Evaluating Natural Language Explanations of Offensive ContentFindings of the Association for Computational LinguisticsLorenzo Puppi Vecchi, Alceu de Souza Britto Jr, Emerson Cabrera Paraiso, et al.2026 · 1 citation
27. HSE NLP TEAM at MEDIQA-SYNUR 2026: Consensus Adjudication Ensemble (ACE): Balancing Precision and Recall for Schema-Bystander Clinical ExtractionWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECAirat A. Valiev2026 · 1 citation
28. Smart_solutions at MEDIQA-SYNUR 2026: A Multi-Stage LLM Pipeline for Nursing Observation ExtractionWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECPrateek Munjal2026 · 1 citation
29. A Herd of Language Models Makes a Better Zero-shot Annotator for Clinical Named Entity RecognitionFindings of the Association for Computational LinguisticsSeiji Shimizu, Shoko Wakamiya, Eiji Aramaki2026
30. EpiGator: An Event-based Surveillance System for Infectious Disease OutbreaksLanguage Resources and Evaluation Conference (LREC)Yiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.2026
31. Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge GroundingLanguage Resources and Evaluation Conference (LREC)Priyanshu Priya, Hardik Goyal, Asif Ekbal2026
32. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
33. Mind Your Steps in Biomedical Named Entity Recognition: First Extract, Tag AfterwardsWorkshop on Linguistic Analysis for HealthDarya Shlyk, Stefano Montanelli, Marco Mesiti, et al.2026
34. sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF FillingWorkshop on Patient-Oriented Language Processing @ LRECKatharina Sommer, Tristan Till, Florian Matthes2026

168 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/monica-agrawal/cited-by/