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Agentic LLM Workflows for Generating Patient-Friendly Medical Reports

Autor: Sudarshan, Malavikha, Shih, Sophie, Yee, Estella, Yang, Alina, Zou, John, Chen, Cathy, Zhou, Quan, Chen, Leon, Singhal, Chinmay, Shih, George

The application of Large Language Models (LLMs) in healthcare is expanding rapidly, with one potential use case being the translation of formal medical reports into patient-legible equivalents. Currently, LLM outputs often need to be edited and evalu

Externí odkaz: http://arxiv.org/abs/2408.01112

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Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Autor: Gunduz, Deniz, Qin, Zhijin, Aguerri, Inaki Estella, Dhillon, Harpreet S., Yang, Zhaohui, Yener, Aylin, Wong, Kai Kit, Chae, Chan-Byoung

Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of the messages or to the goal that the message exchange aims to achieve. N

Externí odkaz: http://arxiv.org/abs/2207.09353

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