Language Specific English Classification Without Cross Lingual Transfer

via “language-specific english classification without cross-lingual transfer”

zero-shot-classification model by undefined. 3,15,816 downloads.

Unique: Explicitly trained on English NLI datasets without multilingual pretraining, providing maximum English accuracy at the cost of zero cross-lingual transfer; contrasts with multilingual models (mDeBERTa, XLM-RoBERTa) that sacrifice per-language performance for language coverage

vs others: Higher English classification accuracy than multilingual alternatives (2-4% F1 improvement) because model capacity is not shared across languages; simpler deployment than language-detection-plus-routing approaches for English-only systems