HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Paper
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2306.06029
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Published
Antidote Project
Data and models generated within the Antidote Project (https://univ-cotedazur.eu/antidote)
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Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
Paper • 2404.07613 • Published -
HiTZ/casimedicos-exp
Viewer • Updated • 2.49k • 58 • 3 -
HiTZ/casimedicos-squad
Preview • Updated • 36 • 1 -
HiTZ/Medical-mT5-large
Text2Text Generation • Updated • 2.64k • 19 -
HiTZ/Medical-mT5-xl
Text2Text Generation • Updated • 55 • 3 -
HiTZ/Medical-mT5-large-multitask
Text2Text Generation • Updated • 17 -
HiTZ/Medical-mT5-xl-multitask
Text2Text Generation • Updated • 46 • 2 -
HiTZ/Multilingual-Medical-Corpus
Viewer • Updated • 67.4M • 257 • 15 -
HiTZ/Multilingual-BioASQ-6B
Viewer • Updated • 11k • 54 • 2 -
HiTZ/multilingual-abstrct
Viewer • Updated • 34.9k • 104 -
HiTZ/MedExpQA
Viewer • Updated • 2.49k • 133 • 6 -
HiTZ/AbstRCT-ES
Updated • 40 -
HiTZ/mbert-argmining-abstrct-en-es
Token Classification • Updated • 22 -
HiTZ/mdeberta-expl-extraction-multi
Token Classification • Updated • 14 -
HiTZ/xlm-roberta-large-expl-extraction-multi
Question Answering • Updated • 3 -
HiTZ/mbert-argmining-abstrct-multilingual
Token Classification • Updated • 10 -
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering
Paper • 2404.05590 • Published -
Cross-lingual Argument Mining in the Medical Domain
Paper • 2301.10527 • Published -
HiTZ/Mistral-7B-MedExpQA-EN
Text Generation • Updated • 7