Evaluating Parameter-Efficient Fine-Tuning for Cross-Lingual Natural Language Inference: A Case Study on Nepali XNLI
Nepali language remains under-served in multi-lingual Natural Language Processing (NLP), and robust evaluation practices are often missing for low-resource settings. We present a reproducible study of Cross-lingual Natural Language Inference (XNLI) for Nepali using XLM-RoBERTa base, comparing full fine-tuning against p...