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cs.CL2026
Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See
Ayoub Kirouane, Christos Petrocheilos
Take three frontier mixture-of-experts models (Alibaba, OpenAI, NVIDIA; 3.6-4.0B active parameters each) and fine-tune them to reason in a low-resource language. On accuracy benchm…
cs.CL2026
MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek
Ioakeim Perros, Cleopatra Papadopoulou, Ayoub Kirouane +1
Modern Greek is a richly inflected language, yet the language models built for it are evaluated mainly on factual knowledge, and no benchmark is dedicated to their inflectional com…