Author

Tadesse Destaw Belay

Wollo University

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#artificial intelligence Jan 2026

MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation

Evaluations across nine languages reveal that many low-resource languages suffer large performance drops when tested on digit instantiations different from those in the original test set, and it is found that models robustness in HRL setting do not necessarily translate to LRL.

Tian-Yi Xu, Kosei Uemura, Alfred Malengo Kondoro et al. · arXiv.org · 4 citations

Preprint Aug 2026

The Illusion of Cross-Lingual Safety in Low-Resource Languages

This work investigates cross-lingual safety transfer in four African languages, Twi, Hausa, Amharic, and Swahili, using LoDNA, a new safety dataset that pairs literal translations with culturally localized prompts to demonstrate superficial safety alignment.

Abigail Oppong, P SAM SAHIL, Tadesse Destaw Belay et al. · 1 citation