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Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
April 12, 2024, 4:42 a.m. | Iker Garc\'ia-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet,
cs.LG updates on arXiv.org arxiv.org
Abstract: Research on language technology for the development of medical applications is currently a hot topic in Natural Language Understanding and Generation. Thus, a number of large language models (LLMs) have recently been adapted to the medical domain, so that they can be used as a tool for mediating in human-AI interaction. While these LLMs display competitive performance on automated medical texts benchmarks, they have been pre-trained and evaluated with a focus on a single language …
abstract applications arxiv cs.ai cs.cl cs.lg development domain hot language language models language understanding large language large language models llm llms medical multilingual natural natural language research technology text text-to-text type understanding
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