A contrastive alignment objective applied during few-shot fine-tuning improves cross-lingual transfer for NLI and relation extraction in many settings, though the reported advantage over prompting baselines is inconsistent across models and datasets.
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Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
A contrastive alignment objective applied during few-shot fine-tuning improves cross-lingual transfer for NLI and relation extraction in many settings, though the reported advantage over prompting baselines is inconsistent across models and datasets.