Bernal Jimenez Gutierrez

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Yu SuDistinguished Assistant Professor, Computer Science and Engineering, Ohio State UniversityVerified email at osu.edu
Huan SunEndowed CoE Innovation Scholar and Associate Professor, The Ohio State UniversityVerified email at osu.edu
Nikolas McNealPhD Student, Georgia TechVerified email at gatech.edu
Clay WashingtonResearch Specialist, Emory University/Georgia Institute of TechnologyVerified email at osu.edu
Yiheng ShuPhD student, The Ohio State UniversityVerified email at osu.edu
You CHENVanderbilt University, Chinese Academy of SciencesVerified email at vanderbilt.edu
Lang LiThe Ohio State University, College of MedicineVerified email at osumc.edu
Xiang YueCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ping ZhangThe Ohio State UniversityVerified email at osu.edu
Yu GuThe Ohio State UniversityVerified email at osu.edu
Michihiro YasunagaStanford University; MetaVerified email at stanford.edu
Wael SalloumComputer Science, Columbia UniversityVerified email at ccls.columbia.edu
Kai ZhangOhio State UniversityVerified email at osu.edu
Vinh NguyenUS National Library of MedicineVerified email at nih.gov
Olivier BodenreiderSenior Scientist, National Library of MedicineVerified email at nlm.nih.gov
KW FungStaff Scientist, National Library of Medicine, National Institutes of HealthVerified email at mail.nih.gov

Bernal Jimenez Gutierrez

PhD student, Computer Science and Engineering, The Ohio State University

Verified email at osu.edu - Homepage

Biomedical NLP Information Extraction LLMs


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Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again BJ Gutierrez, N McNeal, C Washington, Y Chen, L Li, H Sun, Y Su arXiv preprint arXiv:2203.08410, 2022	167	2022
Improving clinical trial participant prescreening with artificial intelligence (AI): a comparison of the results of AI-assisted vs standard methods in 3 oncology trials D Calaprice-Whitty, K Galil, W Salloum, A Zariv, B Jimenez Therapeutic innovation & regulatory science 54, 69-74, 2020	78	2020
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors K Zhang, BJ Gutiérrez, Y Su arXiv preprint arXiv:2305.11159, 2023	74	2023
Clinical Reading Comprehension: a Thorough Analysis of the emrQA Dataset X Yue, BJ Gutierrez, H Sun arXiv preprint arXiv:2005.00574, 2020	49	2020
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models B Jimenez Gutierrez, Y Shu, Y Gu, M Yasunaga, Y Su Advances in Neural Information Processing Systems 37, 59532-59569, 2024	47*	2024
Document Classification for COVID-19 Literature B Jiménez Gutiérrez, J Zeng, D Zhang, P Zhang, Y Su arXiv e-prints, arXiv: 2006.13816, 2020	46*	2020
Biomedical Language Models are Robust to Sub-optimal Tokenization BJ Gutiérrez, H Sun, Y Su arXiv preprint arXiv:2306.17649, 2023	6	2023
Clinical Phrase Mining with Language Models K Mani, X Yue, BJ Gutierrez, Y Huang, S Lin, H Sun 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020	3	2020
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers S Chen, BJ Gutiérrez, Y Su arXiv preprint arXiv:2410.02642, 2024	2	2024
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models BJ Gutiérrez, Y Shu, W Qi, S Zhou, Y Su arXiv preprint arXiv:2502.14802, 2025		2025
Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion BJ Gutierrez, Y Mao, V Nguyen, KW Fung, Y Su, O Bodenreider arXiv preprint arXiv:2311.15106, 2023		2023

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