AI RESEARCH

QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models

arXiv CS.AI

ArXi:2603.13691v1 Announce Type: cross While Large Language Models (LLMs) excel on standardized medical exams, high scores often fail to translate to high-quality responses for real-world medical queries. Current evaluations rely heavily on multiple-choice questions, failing to capture the unstructured, ambiguous, and long-tail complexities inherent in genuine user inquiries. To bridge this gap, we