He Jiakai

InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer

Multilingual language models (MLLMs) have achieved remarkable success in various cross-lingual transfer tasks. However, they suffer poor performance in zero-shot low-resource languages, particularly when dealing with longer contexts. Existing research mainly relies on full-model fine-tuning on large…