MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering-Reference-Cited by-同舟云学术

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MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering

Published:2024-09 Issue: Volume:155 Page:102938
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Alonso Iñigo,Oronoz Maite^ORCID,Agerri Rodrigo

Funder

Agencia Estatal de Investigación

Publisher

Elsevier BV

Reference40 articles.

1. Large language models encode clinical knowledge;Singhal;Nature,2023

2. Capabilities of gpt-4 on medical challenge problems;Nori,2023

3. The role of large language models in medical education: Applications and implications;Safranek;JMIR Med Educ,2023

4. explanatory argument extraction of correct answers in resident medical exams;Goenaga,2023

5. Llama 2: Open foundation and fine-tuned chat models;Touvron,2023

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