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Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models.

, , and . ClinicalNLP@ACL, page 200-217. Association for Computational Linguistics, (2023)

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Extrinsically-Focused Evaluation of Omissions in Medical Summarization., , , , , and . CoRR, (2023)Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning., , , , , , , , and . IGARSS, page 2229-2232. IEEE, (2020)RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms., , and . CoRR, (2019)Optimisation of NB-IoT deployment for smart energy distribution networks., , and . EURASIP J. Wireless Comm. and Networking, (2019)Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models., , , , , and . IGARSS, page 948-951. IEEE, (2020)Video based adaptive road traffic signaling., , , and . ICDSC, page 1-6. IEEE, (2013)Training Neural Networks with Fixed Sparse Masks., , and . NeurIPS, page 24193-24205. (2021)Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models., , and . ClinicalNLP@ACL, page 200-217. Association for Computational Linguistics, (2023)CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants., , , and . NAACL-HLT, page 4009-4030. Association for Computational Linguistics, (2024)Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids., , and . EuCNC, page 418-423. IEEE, (2018)