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cs.CL2024
Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
Barah Fazili, Ashish Sunil Agrawal, Preethi Jyothi
Large language models (LLMs) are very proficient text generators. We leverage this capability of LLMs to generate task-specific data via zero-shot prompting and promote cross-lingu…
cs.CL2024
Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning
Ashish Sunil Agrawal, Barah Fazili, Preethi Jyothi
Popular benchmarks (e.g., XNLI) used to evaluate cross-lingual language understanding consist of parallel versions of English evaluation sets in multiple target languages created w…