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Silvia Paniagua Su{\'a}rez

1 accepted papers

2025

Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?

EMNLP 2025

As large language models (LLMs) continue to improve, their evaluation increasingly centers on complex, high-level tasks, often at the expense of systematically assessing fundamental capabilities. To address this gap, recent work proposed LMentry, a compact benchmark comprising tasks that are trivial

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