MedQA

In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical problems, MedQA, collected from the professional medical board exams. It covers three languages: English, simplified Chinese, and traditional Chinese, and contains 12,723, 34,251, and 14,123 questions for the three languages

Papers using MedQA (6)

Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning2026Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning2026OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning2025TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification2025Generalist Large Language Models Outperform Clinical Tools on Medical Benchmarks2025CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering2025