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Keyword: multilingual benchmark Clear all
1 claim from 1 paper
Medicine › Artificial Intelligence in Healthcare and Education
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering
Alonso, Oronoz and Agerri · Artificial Intelligence in Medicine · 2024
The paper presents MedExpQA, a multilingual medical-exam benchmark with doctor-written gold explanations, and uses it to test how well large language models answer medical questions.
Unchecked1 claimShow the claim
- UncheckedIn MedExpQA tests, the best LLM accuracy was around 75 for English, with room to improve, and about 10 points lower in other languages.“Comprehensive multilingual experimentation using both the gold reference explanations and Retrieval Augmented Generation (RAG) approaches show that performance of LLMs, with best results around 75 accuracy for English, still has large room for improvement, especially for languages other than Englis…”
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