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Section Classification in Clinical Notes with Multi-task Transformers.

, , , and . LOUHI@EMNLP, page 54-59. Association for Computational Linguistics, (2022)

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Surfacing Biases in Large Language Models using Contrastive Input Decoding., , , and . CoRR, (2023)Learning and Evaluating a Differentially Private Pre-trained Language Model., , , , , , , , , and 1 other author(s). EMNLP (Findings), page 1178-1189. Association for Computational Linguistics, (2021)Useful Confidence Measures: Beyond the Max Score., , and . CoRR, (2022)Building a Clinically-Focused Problem List From Medical Notes., , , , , , , , , and 8 other author(s). LOUHI@EMNLP, page 60-68. Association for Computational Linguistics, (2022)Efficient Dynamic Approximate Distance Oracles for Vertex-Labeled Planar Graphs., and . WAOA, volume 10787 of Lecture Notes in Computer Science, page 269-284. Springer, (2017)Customization scenarios for de-identification of clinical notes., , , , , , , , , and 9 other author(s). BMC Medical Informatics Decis. Mak., 20 (1): 14 (2020)LLMs Accelerate Annotation for Medical Information Extraction., , , , , , , , , and 3 other author(s). ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 82-100. PMLR, (2023)Efficient Approximate Distance Oracles for Vertex-Labeled Planar Graphs., and . CoRR, (2017)Efficient Dynamic Approximate Distance Oracles for Vertex-Labeled Planar Graphs., and . Theory Comput. Syst., 63 (8): 1849-1874 (2019)Section Classification in Clinical Notes with Multi-task Transformers., , , and . LOUHI@EMNLP, page 54-59. Association for Computational Linguistics, (2022)