Tag
DuDi is a dual-signal multilingual distillation framework combining sequence-level and token-level signals with a cross-lingual verbalizer to improve small language models' performance on Southeast Asian languages. Experiments on SEA-HELM show DuDi consistently outperforms competitive distillation baselines across multiple model families and scales.