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Speech-to-SOAP: End-to-End Summarization of Medical Dialogues: KIT@BeTraC 2026

Ugan, Enes Yavuz et al.
arXiv (All) · Papers
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audio-and-speech-processingcomputation-and-language
With the advent of Large Language Models and its instruction following capabilities a promising application is the task of summarization. Within this domain of task the extractive sub-task of clinical protocolling has emerged as a topic of particular interest as it can significantly reduce the downt
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