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Who cites Jaewoo Kang

1,446 citations of their works from 1,417 papers of our library (of the 141,840 whose bibliographies we read) · 88 with a page here, the most cited first · ← Jaewoo Kang

  1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
  2. 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
  3. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,753 citations
  4. BERTopic: Neural topic modeling with a class-based TF-IDF procedurearXiv:2203.05794Maarten Grootendorst2022 · 1,732 citations
  5. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,648 citations
    LEGAL-BERT: The Muppets straight out of Law SchoolFindings of the Association for Computational LinguisticsIlias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.2020 · 1,493 citations
  6. Publicly Available Clinical BERT EmbeddingsarXiv:1904.03323Emily Alsentzer, John R. Murphy, Willie Boag, et al.2019 · 1,226 citations
    A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,006 citations
  7. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondarXiv:2304.13712Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
  8. ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionarXiv:1904.05342Kexin Huang, Jaan Altosaar, Rajesh Ranganath2019 · 798 citations
    CORD-19: The COVID-19 Open Research DatasetWorkshop on NLP for COVID-19 at EMNLPLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.2020 · 689 citations
  9. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
  10. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
  11. What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical ExamsarXiv:2009.13081Di Jin, Eileen Pan, Nassim Oufattole, et al.2020 · 546 citations
    HateBERT: Retraining BERT for Abusive Language Detection in EnglishWorkshop on Online Abuse and HarmsTommaso Caselli, Valerio Basile, Jelena Mitrović, et al.2021 · 481 citations
  12. MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question AnsweringarXiv:2203.14371 · ACM Conference on Health, Inference, and Learning (CHIL) 2022Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2022 · 454 citations
    TimeLMs: Diachronic Language Models from TwitterAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.2022 · 331 citations
  13. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsarXiv:2311.16079Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 311 citations
  14. Multilingual is not enough: BERT for FinnisharXiv:1912.07076Antti Virtanen, Jenna Kanerva, Rami Ilo, et al.2019 · 258 citations
  15. AlpaGasus: Training A Better Alpaca with Fewer DataarXiv:2307.08701Lichang Chen, Shiyang Li, Jun Yan, et al.2023 · 215 citations
  16. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 189 citations
    Re2G: Retrieve, Rerank, GenerateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 183 citations
    Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainFindings of the Association for Computational LinguisticsBernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.2022 · 179 citations
  17. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
  18. Lawyer LLaMA Technical ReportarXiv:2305.15062Quzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 156 citations
  19. PMC-LLaMA: Towards Building Open-source Language Models for MedicinearXiv:2304.14454Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 144 citations
  20. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 142 citations
    Evidence-based Fact-Checking of Health-related ClaimsFindings of the Association for Computational LinguisticsMourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.2021 · 129 citations
  21. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  22. Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language CapabilitiesarXiv:2404.17790Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.2024 · 114 citations
  23. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  24. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  25. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 72 citations
  26. CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkarXiv:2106.08087Ningyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
  27. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  28. CMB: A Comprehensive Medical Benchmark in ChinesearXiv:2308.08833Xidong Wang, Guiming Hardy Chen, Dingjie Song, et al.2023 · 54 citations
  29. HeQ: a Large and Diverse Hebrew Reading Comprehension BenchmarkAmir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.2023 · 13 citations
  30. Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and AnalysisSeth Kulick, Neville Ryant, Beatrice Santorini2022 · 7 citations
  31. Parsing Early Modern English for Linguistic SearchSeth Kulick, Neville Ryant, Beatrice Santorini2022 · 4 citations
  32. Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare TasksarXiv:2508.15797Nouar AlDahoul, Yasir Zaki2025 · 1 citation
    Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
  33. Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's DiseaseZvi Badash; Hadas Ben-Atya; Naama Gavrielov; Liam Hazan; Gili Focht; Ruth Cytter-Kuint; Talar Hagopian; Dan Turner;, Moti Freiman2025
  34. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health carearXiv:2406.15966Hassan Alhuzali, Ashwag Alasmari2024
  35. TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English TweetsarXiv:2008.12854Anh Tuan Nguyen2020

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