Ayomide Odumakinde

Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress

Synthetic data has driven recent state-of-the-art advancements, but reliance on a single oracle teacher model can lead to model collapse and bias propagation. These issues are particularly severe in multilingual settings, where no single model excels across all languages. In this study, we propose m…