Tag: 数据质量 (3 articles)

AI researcher Lilian Weng provides a deep analysis of the evolution of scaling laws, highlighting common pitfalls in practice and emphasizing the critical role of data quality and allocation.

QIMMA's validate-then-evaluate approach uncovered systematic quality issues in mainstream Arabic benchmarks, signaling AI evaluation's shift from data volume to quality assurance.

OCR accuracy is not a single number, but a systems engineering problem determined by image quality, document complexity, evaluation metrics, and post-processing.