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What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.

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Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes., , and . CoRR, (2018)TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models., , , , , , , , , and 5 other author(s). CoRR, (2023)Machine Learning for Health (ML4H) Workshop at NeurIPS 2018., , , , , , , , , and 8 other author(s). CoRR, (2018)Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events., , , , , , , , , and 1 other author(s). CoRR, (2023)An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification., , , , , and . CoRR, (2023)Prompt Discriminative Language Models for Domain Adaptation., , , , , , , , and . ClinicalNLP@ACL, page 247-258. Association for Computational Linguistics, (2023)What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization., , , , , , , , , and . ACL (1), page 10520-10542. Association for Computational Linguistics, (2023)Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature., , , , , , , , , and 5 other author(s). KDD, page 3717-3725. ACM, (2021)Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation., , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 202-219. PMLR, (2019)Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration., , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 783-812. PMLR, (2020)