1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
SambaLingo: Teaching Large Language Models New Languages
Zoltan Csaki, Bo Li, Jonathan Li +7
Despite the widespread availability of LLMs, there remains a substantial gap in their capabilities and availability across diverse languages. One approach to address these issues h…
cs.CL2023★ 1 cited
Efficiently Adapting Pretrained Language Models To New Languages
Zoltan Csaki, Pian Pawakapan, Urmish Thakker +1
Recent large language models (LLM) exhibit sub-optimal performance on low-resource languages, as the training data of these models is usually dominated by English and other high-re…