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Found 3 papers, 1 papers with code
Improving Summarization with Human Edits
Existing works use human feedback to train large language models (LLMs) in general domain abstractive summarization and have obtained summary quality exceeding traditional likelihood training.
Weakly Supervised Medication Regimen Extraction from Medical Conversations
Automated Medication Regimen (MR) extraction from medical conversations can not only improve recall and help patients follow through with their care plan, but also reduce the documentation burden for doctors.
Medication Regimen Extraction From Medical Conversations
In this paper, we focus on extracting the Medication Regimen (dosage and frequency for medications) discussed in a medical conversation.
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