AI RESEARCH
From Script to Semantics: Prompting Strategies for African NLI
arXiv CS.LG
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ArXi:2606.03304v1 Announce Type: cross Large language models (LLMs) are increasingly evaluated in multilingual settings, yet their inference behavior in low-resource African languages remains underexplored especially under pure prompting without fine-tuning. We present a systematic study of prompting strategies for Natural Language Inference (NLI) in Swahili, Yoruba, and Hausa using the AfriXNLI benchmark.