AI RESEARCH
Sample-Size Scaling of the African Languages NLI Evaluation
arXiv CS.LG
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ArXi:2606.03219v1 Announce Type: cross African languages have very little labelled data, and it is unclear if augmenting the quantity of annotation data reliably enhances downstream performance. The study is a systematic sample-size scaling study of natural language inference (NLI) on 16 African languages based on the AfriXNLI benchmark.