🧑‍🔬 Who cites Mengling Feng

604 citations of their works from 598 papers of our library (of the 141,840 whose bibliographies we read) · 23 with a page here, the most cited first · ← Mengling Feng

1. SciBERT: A Pretrained Language Model for Scientific TextConference on Empirical Methods in Natural Language Processing (EMNLP)Iz Beltagy, Kyle Lo, Arman Cohan2019 · 3,567 citations
2. MIMIC-IV, a freely accessible electronic health record datasetScientific DataAlistair E. W. Johnson, Lucas Bulgarelli, Lu Shen, et al.2023 · 3,386 citations
3. Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingarXiv:2007.15779Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon2020 · 2,655 citations
4. Publicly Available Clinical BERT EmbeddingsarXiv:1904.03323Emily Alsentzer, John R. Murphy, Willie Boag, et al.2019 · 1,226 citations
5. Attention is not not ExplanationConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Yuval Pinter2019 · 1,196 citations
6. Attention is not ExplanationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sarthak Jain, Byron C. Wallace2019 · 1,005 citations
7. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionarXiv:1904.05342Kexin Huang, Jaan Altosaar, Rajesh Ranganath2019 · 798 citations
8. Explainable Prediction of Medical Codes from Clinical TextConference of the North American Chapter of the Association for Computational Linguistics (NAACL)James Mullenbach, Sarah Wiegreffe, Jon Duke, et al.2018 · 719 citations
9. Joint Embedding of Words and Labels for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.2018 · 464 citations
10. 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 · 450 citations
11. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 408 citations
12. Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 348 citations
13. Ethical Research Protocols for Social Media Health ResearchACL Workshop on Ethics in Natural Language ProcessingAdrian Benton, Glen Coppersmith, Mark Dredze2017 · 292 citations
14. emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsConference on Empirical Methods in Natural Language Processing (EMNLP)Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.2018 · 288 citations
15. Few-Shot and Zero-Shot Multi-Label Learning for Structured Label SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Anthony Rios, Ramakanth Kavuluru2018 · 246 citations
16. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
17. CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersInternational Conference on Computational Linguistics (COLING)Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.2020 · 204 citations
18. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
19. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
20. MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Christine Herlihy, Rachel Rudinger2021 · 30 citations
21. J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in JapaneseLanguage Resources and Evaluation Conference (LREC)Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.2026
22. Persona-Conditioned Generation of Patient Self-Reports from EHRsLanguage Resources and Evaluation Conference (LREC)Yuexin Wu, Jianming Wei, Vasile Rus2026
23. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carearXiv:2406.15966Hassan Alhuzali, Ashwag Alasmari2024

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