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Found 3 papers, 2 papers with code
State of What Art? A Call for Multi-Prompt LLM Evaluation
Recent advances in large language models (LLMs) have led to the development of various evaluation benchmarks.
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models
Our method outperforms standard training methods in low-resource languages and retrains performance on high-resource languages while using the same amount of data.
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
We show that the choice of pretraining languages affects downstream cross-lingual transfer for BERT-based models.
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