3 citations · 4 across the 3 of their papers we have counts for
3 papers
State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi, Guy Kaplan, Dan Malkin +3
Recent advances in large language models (LLMs) have led to the development of various evaluation benchmarks. These benchmarks typically rely on a single instruction template for e…
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models
Tomasz Limisiewicz, Dan Malkin, Gabriel Stanovsky
Multilingual models have been widely used for cross-lingual transfer to low-resource languages. However, the performance on these languages is hindered by their underrepresentation…
A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky
We show that the choice of pretraining languages affects downstream cross-lingual transfer for BERT-based models. We inspect zero-shot performance in balanced data conditions to mi…