2026
Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
Sunil Kothari, Sumukha Sharma Thoppanahalli Chandramouli, Naman Khandelwal, Praveen Kumar Gulipalli, Parth Kulshreshtha, Ashi Jain +5
ICML 2026poster
This position paper argues that the machine learning community should prioritize early-stage quality assurance in annotation pipelines over the prevailing practice of late-stage validation. Data quality bottlenecks increasingly limit foundation model improvement, yet quality assurance research focus…