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Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
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Lee, Gyubok
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Kweon, Sunjun
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Bae, Seongsu
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Choi, Edward
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Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
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Yang, Yongjin
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Lee, Gyubok
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Yun, Se-Young
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EHRFL: Federated Learning Framework for Heterogeneous EHRs and Precision-guided Selection of Participating Clients
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Kim, Jiyoun
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Kim, Junu
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Hur, Kyunghoon
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Choi, Edward
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TrustSQL: A Reliability Benchmark for Text-to-SQL Models with Diverse Unanswerable Questions
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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
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Jeong, Hyewon
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Jabbour, Sarah
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Yang, Yuzhe
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Thapta, Rahul
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Mozannar, Hussein
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Han, William Jongwon
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Mehandru, Nikita
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Lozano, Alejandro
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Kocielnik, Rafal Dariusz
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McDermott, Matthew
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Naumann, Tristan
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Ustun, Berk
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Choi, Edward
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Yeom, Kristen
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Gursoy, Gamze
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Ghassemi, Marzyeh
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Pierson, Emma
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Chen, George
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Kanjilal, Sanjat
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Oberst, Michael
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Zhang, Linying
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KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations
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EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings
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Kweon, Sunjun
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Kwak, Heeyoung
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Cha, Dongchul
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Yoon, Hangyul
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Won, Seunghyun
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Multimodal Transformer With a Low-Computational-Cost Guarantee
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KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
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Lee, Jiyoung
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Kim, Minwoo
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Kim, Junghwan
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Won, Seunghyun
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Self-Supervised Contrastive Learning for Long-term Forecasting
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