Multilingual Medical Reasoning for Question Answering with Large Language Models

1. 1Extract medical knowledge from multilingual Wikipedia sources
2. 2Generate reasoning traces based on the extracted knowledge
3. 3Fine-tune Large Language Models with the generated traces for improved question answering
4. 4Evaluate the performance of the models on multilingual medical QA tasks

AI engineers and researchers on a team benefit from this work as it enhances the reliability of medical knowledge in LLMs, while data scientists and medical professionals can utilize the outcomes for improved question answering systems

💡 Using multilingual medical knowledge from Wikipedia can improve the reliability of LLMs in medical question answering

💡 Multilingual medical QA with LLMs!