MedRECT: A Bilingual Medical Reasoning Benchmark for Error Correction in Clinical Texts
MEDRECT creates a new, cross-lingual benchmark for finding and fixing medical errors in Japanese and English texts. It tests how well Large Language Models (LLMs) handle complex medical reasoning across languages. Findings show that models with reasoning abilities significantly outperform others, and knowledge transfers between Japanese and English contexts are possible through fine-tuning.