Author name: Mahounan Pericles Adjovi, Roald Eiselen, Prasenjit Mitra

arXiv:2604.12477v1 Announce Type: cross
Abstract: Large language models (LLMs) are trained on data contributed by low-resource language communities, yet the linguistic knowledge encoded in these models remains accessible only through commercial APIs. …

arXiv:2604.12540v1 Announce Type: cross
Abstract: Data scarcity limits NLP development for low-resource African languages. We evaluate two data augmentation methods — LLM-based generation (Gemini 2.5 Flash) and back-translation (NLLB-200) — for Haus…