Multidimensional Quality Metric

Multidimensional Quality Metrics (MQMs) aim to move beyond single-score evaluations of various data types, offering a more nuanced assessment by analyzing multiple quality dimensions simultaneously. Current research focuses on developing and refining MQM frameworks for diverse applications, including machine translation, video quality assessment, and even service quality, often employing machine learning models to automate the scoring process and leveraging large language models for more detailed error analysis. This approach provides more granular insights into system performance, leading to improved model development and more effective quality control across various fields.