Multilingual Statement-Tuning gives encoder-only models zero-shot cross-lingual classification, matching or beating multilingual LLMs up to 72B on three of four benchmarks.
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Statement-Tuning Enables Efficient Cross-lingual Generalization in Encoder-only Models
Multilingual Statement-Tuning gives encoder-only models zero-shot cross-lingual classification, matching or beating multilingual LLMs up to 72B on three of four benchmarks.